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Documentation of statistics: Environmental accounts for Denmark (Discontinued)

Contact info, National Accounts, Climate and Environment , Ingeborg Vind , +45 24 83 51 49 , INV@dst.dk , Get documentation of statistics as pdf, Environmental accounts for Denmark (discontinued) 2013 , Previous versions, Environmental accounts for Denmark (discontinued) 2012, These statistics are no longer compiled under the name Environmental Accounts for Denmark. Now specific documentations of statistics can be found under the subject page Environmental-Economic Accounts., Statistical presentation, The environmental accounts contain information on a) Material flows in the form of the the weight of Danish resource extraction, import and exports, b) Air emissions of different substances (CO2, N2O, CH4, PFC, HFC, SF6, NOx, NMVOC, CO, PM10, PM2.5, SO2, NH3), c) Public expenditure and revenue on the environment as well as d) Environmental related taxes etc., The definitions used in the environmental accounts ensures that the information immediately can be used for analyses of the interaction between the economic activities and e.g. air emissions of some of the above-mentioned substances., 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. , Tax revenues are broken down by industries on the basis of detailed information from National Accounts., Material Flow Accounts are compiled on the basis of internal and external sources on resource extraction., 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, Figures on statistical uncertainty have not been estimated., Read more about accuracy and reliability, Timeliness and punctuality, Data is normally published 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 (NACE 64), 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, Environmental-economic accounts, Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/environmental-accounts-for-denmark--discontinued-

Documentation of statistics

Documentation of statistics: International Trade in Services by Enterprise Characteristics

Contact info, External Economy , Søren Burman , +45 30 51 45 62 , SBU@dst.dk , Get documentation of statistics as pdf, International Trade in Services by Enterprise Characteristics 2022 , Previous versions, International Trade in Services by Enterprise Characteristics 2021, International Trade in Services by Enterprise Characteristics 2020, International Trade in Services by Enterprise Characteristics 2019, International Trade in Services by Enterprise Characteristics 2018, International Trade in Services by Enterprise Characteristics 2017, The purpose of Trade in Services by Enterprise Characteristics (STEC) is to describe enterprises engaging in international trade in services, how large they are, which economic sector they belong to, how many countries they trade with etc. These statistics have been compiled since 2014 and are comparable until 2018 for legal units. From 2019 and onwards the statistics have been compiled on the basis of the enterprise unit., Statistical presentation, Trade in Services by Enterprise Characteristics is an annual measurement of enterprises involved in international trade in services and their characteristics, stated in value. The statistics are grouped by economic activity, enterprise size, ownership and type of services., Read more about statistical presentation, Statistical processing, These statistics are compiled by combining data for International Trade in services (ITSS) with Business statistics. Data is validated by comparing data with the sources used for compiling the statistics and by comparing the different tables compiled in this statistic., Read more about statistical processing, Relevance, STEC is relevant for analysts and enterprises, for analyses of e.g. globalization and enterprises which contribute to the international trade in services in Denmark. , Read more about relevance, Accuracy and reliability, The accuracy for International Trade in Service by Enterprise Characteristics is closely related to the accuracy of International Trade in Service Statistics which is high on an aggregated level. The revisions follow the revision structure of International Trade in Service Statistics., Read more about accuracy and reliability, Timeliness and punctuality, These statistics are published 10 months after the reference period. They are published without any delays., Read more about timeliness and punctuality, Comparability, STEC have been compiled since 2017 but is comparable from 2014 to 2018 for legal units. From 2019 the statistics have been compiled using the enterprise unit. The data is fully comparable with compiled services in the ITSS and Balance of payments statistics. Comparability with other statistics, such as the business statistics can be limited due to different coverages., 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 , International Trade in Services, .The statistics can also be found in various publications and analysis., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/international-trade-in-services-by-enterprise-characteristics

Documentation of statistics

Documentation of statistics: Rent indices for commercial real estate (Experimental statistics)

Contact info, Prices and Consumption , Get documentation of statistics as pdf, Rent indices for commercial real estate (Experimental statistics) 2024 , Previous versions, Rent indices for commercial real estate (Experimental statistics) 2023, The rent indices for commercial real estate is an experimental statistics for rented property units in the commercial real estate market. The purpose of the statistics is to measure change over time. The statistics is published since 2023 with indices going back to 2021., Statistical presentation, The statistics is a quarterly statistics for the Denmark., Read more about statistical presentation, Statistical processing, The rent indices is based on a sample of commercial real estate that are privately rented. The sample covers app. 140,000 property units out of a population of app. 700,000 property units. The index is calculated by the match models method, i.e. the change in rent is measured by comparing the rent of the same property unit between two adjacent periods., Read more about statistical processing, Relevance, The statistics is primary used as a business cycle indicator by the European Systemic Risk Board and the European Central Bank. Other uses of the statistics is to shed light on developments of rent in the rental market for commercial real estate., Read more about relevance, Accuracy and reliability, It is not possible to quantify the statistical uncertainty in the rent indices for commercial real estate because the sample is not randomly drawn from the population, thus there is a potential for a sample bias.. The rent is collected on the first day of the first month of the relevant quarter. Thus, there will be uncertainty associated with changes to the rent within the quarter that are not captured., Read more about accuracy and reliability, Timeliness and punctuality, The statistic is published on the 15th or the first working day thereafter, in the first month after the quarter. Only final indices are published., Read more about timeliness and punctuality, Comparability, The calculation is based on a uniform basis since 2021. The statistics is not necessary comparable with other statistics that cover the same population due to differences in calculation method., Read more about comparability, Accessibility and clarity, The statistics is published under the subject of Rent indices for housing., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/rent-indices-for-commercial-real-estate--experimental-statistics-

Documentation of statistics

Documentation of statistics: Rent indices for housing

Contact info, Prices and Consumption, Economic Statistics. , Martin Sædholm Nielsen , +45 24 49 72 81 , mne@dst.dk , Get documentation of statistics as pdf, Rent indices for housing 2021 , Previous versions, The purpose of the statistic Rent indices for housing is to measure the development in rent (housing). The statistic covers the years from 2021. , Statistical presentation, The statistic is a quarterly statistics who show the development in rents before rent subsidies. , Read more about statistical presentation, Statistical processing, The Rent indices for housing are based on a sample of privately owned rented dwellings, social rental housing and cooperative dwellings. The rent development for the social rental housing is based on administrative data from The National Bulding Fund (Landsbyggefonden) and thus covers the entire population of social rental housing. Privately owned rented dwellings is covered by a sample of approx. 110.000 dwellings out of a population of approx. 500.000 privately owned rented dwellings. Cooperative dwellings is covered by a sample of approx. 600 dwellings. Social rental housing and private rental housing each amount to almost half of the total rental housing market whereas cooperative dwellings account for approx. 10 per cent. , Read more about statistical processing, Relevance, The statistic measures the development in rent (housing). , Read more about relevance, Accuracy and reliability, It is not possible to quantify the uncertainty in the rent indices for housing, as the sample behind is not randomly drawn . However, for social housing, the statistics are based on the population of social housing, which is why there is no uncertainty here. For the private rental homes, the sample consists of approx. 110,000 rental homes out of a population of approx. 500,000 rental housing, so here there is limited sample uncertainty. Cooperative dwellings are covered by a sample of approx. 600 dwellings, so here there is sample uncertainty. , Read more about accuracy and reliability, Timeliness and punctuality, The consumer price index including the rents index is published on the 10th or the first working day thereafter, following the month in which the data was collected. The statistics are published without delay in relation to the scheduled date. , Read more about timeliness and punctuality, Comparability, The statistics have been compiled in the same way since 2021. The statistics are not necessarily comparable with other statistics within the same area due to different methods. , Read more about comparability, Accessibility and clarity, These statistics are published in the StatBank under , rent and rental vacancy, ., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/rent-indices-for-housing

Documentation of statistics

Documentation of statistics: Interest and Share Price Indices

Contact info, Government Finances , Jesper Søgaard Dreesen , +45 51 64 92 61 , JSD@dst.dk , Get documentation of statistics as pdf, Interest and Share Price Indices 2024 , Previous versions, Interest and Share Price Indices 2023, Interest and Share Price Indices 2022, Interest and Share Price Indices 2021, Interest and Share Price Indices 2020, Interest and Share Price Indices 2019, Interest and Share Price Indices 2018, Interest and Share Price Indices 2017, The purpose of these statistics is to illustrate developments in interest rates and share indices in the financial markets. These statistics are intended for analysis purposes. The daily updates can be found at Nasdaq OMX Nordic or other media covering this financial area., Statistical presentation, The selected information includes for example a selection of money market interest rates, effective rate on leading bonds and share price indices., Read more about statistical presentation, Statistical processing, The primary statistical data are not stored by Statistics Denmark but by the individual producers of the statistics., Read more about statistical processing, Relevance, The primary users are public authorities, private business sector and interested citizens., Read more about relevance, Accuracy and reliability, The figures originate directly from observations in the financial markets. The published figures are therefore not based on calculations and no estimations are made. The statistics show the actual historical values in the markets and are not revised later. For further information please refer to the authorities that collect the basic information., Read more about accuracy and reliability, Timeliness and punctuality, The publication time of these statistics is 20 to 45 days after the reference period expires depending on the time series. These statistics is usually published without delay in relation to the scheduled date., Read more about timeliness and punctuality, Comparability, There are generally high comparability over time, there may be some problems of comparability for some time series statistics. For comparisons across countries should be obtained from the concerned authority collecting basic information., Read more about comparability, Accessibility and clarity, Data can be found in the following tables in the StatBank: , Danmarks Nationalbanks official interest rates, inter-bank interest rate and average bond, , , Share index, , , The bank's average deposit and lending interest rates, , , Effective rate on bonds, and , Government bond yields by country, ., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/interest-and-share-price-indices

Documentation of statistics

Documentation of statistics: Stocks of Wholesale

Contact info, Short Term Statistics, Business Statistics , Mathias Dybdahl Bluhme , +45 40 22 56 37 , MDB@dst.dk , Get documentation of statistics as pdf, Stocks of Wholesale 2025 , Previous versions, Stocks of Wholesale 2024, Stocks of Manufacturers and Wholesale 2022, Stocks of Manufacturers and Wholesale 2021, Stocks of Manufacturers and Wholesale 2019, Stocks of Manufacturers and Wholesale 2018, Stocks of Manufacturers and Wholesale 2017, Stocks of Manufacturers and Wholesale 2016, Stocks of Manufacturers and Wholesale 2015, Stocks of Manufacturers and Wholesale 2014, The primary purpose of the statistics stocks of wholesale is to deliver timely figures for changes in stocks for use in the quarterly national accounts statistics. The statistics were first published in 1987, but the current form started in 2001., Statistical presentation, The statistics describe quarterly changes in the stocks of manufacturing and whole sale. , Read more about statistical presentation, Statistical processing, Data on stocks by the end of each quarter is collected through a survey of approx. 250 units. The reported data are validated, before they are grossed up from the sample to the population. Selected series are seasonally adjusted., Read more about statistical processing, Relevance, The statistics are important for the quarterly National Accounts. They are also used by ministries, banks, trade associations and others that want to include stock changes in assessments of the short-term economic situation., Read more about relevance, Accuracy and reliability, The sample has not been updated in several years and the method of grossing up very basic. However, it is still believed that the statistics present a good indication of stock changes, as all the largest enterprises are included - and it is to a very large degree the large enterprises that account for the significant changes in stock., Read more about accuracy and reliability, Timeliness and punctuality, The statistics are published 55 days after the end of the quarter with high punctuality. The statistics are finally after half a year., Read more about timeliness and punctuality, Comparability, Several countries produce statistics on stock changes, but there are no international or European regulations that ensure comparability. , The statistics measure only stock changes. For total stocks, see the , accounts statistics, ., The statistics go back to 1987., Read more about comparability, Accessibility and clarity, These statistics are published yearly in a Danish press release and quarterly in the StatBank. In the StatBank, these statistics can be found under , Stocks of manufacturing industries, and , Stocks of wholesale, ., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/stocks-of-wholesale

Documentation of statistics

Documentation of statistics: Production and Turnover in Service Industries

Contact info, Short Term Statistics, Business Statistics , Lina Pedersen , +45 51 68 72 80 , lip@dst.dk , Get documentation of statistics as pdf, Production and Turnover in Service Industries 2025 , Previous versions, Production and Turnover in Service Industries 2021, These statistics shows the cyclical development both in the volume output for service industries and turnover. The statistics are compiled based on turnover indices from the statistic Purchases and Sales by Enterprises and on price indices from Producer Price Index for Services (SPPI). For the split into the counting unit KAU we use the statistic Workplaces, job, full-time employment, wage and salary cost by industry (DB07). The statistics is from 2021, with base year 2021. , Statistical presentation, These statistics consist of a number of monthly turnover and volume indices, where indices on turnover are divided by indices on prices. The indices are divided by service industries that follows the definitions in NACE rev. 2. The indices are disseminated both with and without seasonal adjustment., Read more about statistical presentation, Statistical processing, The two data series containing indices of Production and Turnover in Service are division based on Purchases and Sales by Enterprises, on price indices from Producer Price Index for Services (SPPI) and Workplaces, job, full-time employment, wage and salary., Read more about statistical processing, Relevance, The statistics are ordered by Eurostat., Read more about relevance, Accuracy and reliability, Revisions on the indices can occur three and a half years back in time, but usually major revisions occur in later periods. The reliability of the statistics increases updates on indices from Purchases and Sales by Firms, Producer Price Index for Services. There are no calculations on uncertainty., Read more about accuracy and reliability, Timeliness and punctuality, The indices are published t + 3M, where t is the reference period., Read more about timeliness and punctuality, Comparability, These statistics have been compiled since 2024 with comparable figures from 2021 and onwards. These statistics are compiled according to common European guidelines and are therefore comparable with statistics from other countries published by Eurostat., Read more about comparability, Accessibility and clarity, These statistics are published quarterly 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 , Production and turnover in the service sector, . For further information, go to the , subject page, ., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/production-and-turnover-in-service-industries

Documentation of statistics

Documentation of statistics: Urban Areas

Contact info, Population and Education, Social statistics , Jørn Korsbø Petersen , +45 20 11 68 64 , jkp@dst.dk , Get documentation of statistics as pdf, Urban Areas 2023 , Previous versions, Urban Areas 2020, Urban Areas 2019, Urban Areas 2018, Urban Areas 2015, Urban Areas 2014, The statistics show the number of urban areas and the number of persons in each urban area and in the rural areas within each municipality. Statistics on urban areas can be found every 5th or 10th year in the old census publications. From 1976 to 1996, information on urban areas was compiled every other year, since 1996 annually., Statistical presentation, Information on the number of persons in all urban areas with 200 inhabitants or more, and the number of persons in rural areas for every municipality., Read more about statistical presentation, Statistical processing, The statistical source is information on occupied buildings in the Central Population Register (CPR) and geographical maps of Denmark made by The Danish Geodata Agency for Data Supply and Efficiency which shows the delimitation of the cities ., In may after the end of the year is the populations statistics 1. of January published for the municipalities , Statistikbanken, under "BEF44"., Towns where the population in- or decrease quiet a bit is checked., Read more about statistical processing, Relevance, Users: Municipalities, organizations, private companies, students and private persons., Application: Planning, local historical analyses., Read more about relevance, Accuracy and reliability, The overall quality of the statistics is good, but the definition gives possibilities for discretion., Read more about accuracy and reliability, Timeliness and punctuality, The statistics is published yearly in April and is normally kept., Read more about timeliness and punctuality, Comparability, The definition of urban areas has been the same since 1976, but new maps could show boundary changes from one year to the next. The only exception is Hovedstadsområdet (the Metropolitan area). This area was until 1999 defined by using borders of municipalities. From 1999 urban areas within those municipalities are defined as all other urban areas. In this way the area covering Hovedstadsområdet has declined., From 1. January 2006 borders of the urban areas are defined by using x,y coordinates., Read more about comparability, Accessibility and clarity, These statistics are published yearly in a Danish press release, at the same time as the tables are updated in the StatBank. In the StatBank, these statistics can be found under , Population in Denmark, . The statistics also feature in the , Statistical Yearbook, ., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/urban-areas

Documentation of statistics

Documentation of statistics

Each of the statistical products is described in Documentation of statistics., Browse documentation of statistics, People, Labour and income, Economy, Social conditions, Education and research, Business, Transport, Culture and leisure, Environment and energy, Economy, National accounts, Employment and Compensation of Employees in National Accounts, Fixed Capital Stock, Gross Fixed Capital Formation in Housing and Type of Repair (Discontinued), Income and consumption distribution in the household sector (experimental statistics), Input-Output Tables, Multiplier Tables, National Accounts, Financial Accounts, National Accounts: Annual, National Accounts: Household Consumption Expenditure, National Accounts: Institutional Sectors, National Accounts: Quarterly, Productivity, Quarterly national accounts (Discontinued), Regional Accounts, General government economy, Budgets and accounts of municipalities and regions, Budgets of General Government, Cereal Prices used for Regulation of Land Rents, Corporate Taxation, Educational expenditure (UOE Finance), Financial accounts for general government, Financial assets and liabilities of local government, Financial Assets and Liabilities of Local Government (Discontinued), Government budget allocations for research and development, Government deficit and debt in the EU-countries, Government Finance , Quarterly Accounts (Discontinued), Government Finance Statistics, Health care expenditures (SHA), Key Figures for Municipalities Accounts, Local Government Personal Income Taxation and Church Tax, Municipality Accounts (Discontinued), Municipality and Region accounts (Discontinued), Municipality and Region Budgets (Discontinued), Municipality Budgets (Discontinued), National Accounts: Annual, Overdue Tax (Discontinued), Personal income taxes, Public arrears, Real property taxes, Social protection expenditure, Taxes and Duties (Discontinued), The Budgeted Use of Manpower in Municipalities (Discontinued), The Public Sector Finances, Balance of payments and international trade, Balance of Payments, External Trade of Organic Products, International Trade in Goods, International Trade in Goods by Enterprise Characteristics, International Trade in Services, International Trade in Services by Enterprise Characteristics, Price index, Consumer Price Index, Development in Rents (housing), Harmonized Index of Consumer Prices (HICP), Industrial Production and New Orders Statistics (base year 2000, 1985-2006) (Discontinued), Net Price Index, Producer and Import Price Index for Commodities, Producer Price Index for Services, Purchasing Power Parities (PPP), Consumption, Consumer Expectations Survey, Farm Structure Survey, Home Appliances (Discontinued), Household Budget Survey, Human Consumption of Food (Discontinued), Radio and TV Statistics, Equipment Statistics, Appliances and Distribution (Discontinued), Property, Announcements of forced sales of real property, Rent indices for commercial real estate (Experimental statistics), Rent indices for housing, Sales of housing cooperatives, Sales of real property, Financial markets, Banks and mortgage-credit institutions, Interest and Share Price Indices, Profit and Loss Accounts of Danmarks Nationalbank

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics?subject=3

Documentation of statistics: Public arrears

Contact info, Government Finances, Economic Statistics , Ida Balle Rohde , +45 61 24 24 85 , ILR@dst.dk , Get documentation of statistics as pdf, Public arrears 2024 , Previous versions, Public arrears 2023, Public arrears 2022, Public arrears 2021, Public arrears 2020, Public arrears 2019, Public arrears 2018, Public arrears 2017, Public arrears 2016, The purpose of Arrears to general government is to analyze the yearly development in public debt that haven't been paid on time, among these tax in arrears. The statistics were published for the first time in 2017 covering the years 2013-2016 and the statistics are comparable over time. , Statistical presentation, The statistics provide a yearly overview of arrears to general government and it provides information about public arrears divided based on creditor and type. Both the total and the individual arrears are of public interest as they influence the government cash flow. , Read more about statistical presentation, Statistical processing, The compilation and the collection of data in done by the Danish Debt Collection Agency. Statistics Denmark makes no direct statistical treatment, except for validation of data. , Read more about statistical processing, Relevance, Arrears effect the public liquidity and, if they are not collected, also the surplus/deficit. The statistics are relevant for economic ministries, the central bank, NGOs and others compilers of economic analysis and forecast. The statistics are part of the general economic debate and often gets a lot of attention in the media and amongst other professional users., Read more about relevance, Accuracy and reliability, The statistics are based on Danish Debt Collection Agencys register, why errors in these are transferred to the statistics. However, these possible errors are assumed to be very small. the uncertainty is therefore assumed to be low. No revisions of data will be made., Read more about accuracy and reliability, Timeliness and punctuality, Data are published in the end of August in the year after the income year. The statistics only contain final figures. The statistics are usually published on the scheduled date without delays., Read more about timeliness and punctuality, Comparability, The statistics were published for the first time in 2017 covering the years 2013-2016. The data in the statistics is fully comparable over time. There are no common EU guidelines or manuals for statistics on public arrears., Read more about comparability, Accessibility and clarity, In the StatBank, these statistics can be found under the subject , Arrears to general government, . For further information, go to the arrears to general government , subject page, ., Read more about accessibility and clarity

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

Documentation of statistics