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Documentation of statistics: Short-Cycle Higher Education

Contact info, Population and Education, Social Statistics , Mikkel Jonasson Pedersen , +45 23 60 42 07 , mps@dst.dk , Get documentation of statistics as pdf, Short-Cycle Higher Education 2025 , Previous versions, Short-Cycle Higher Education 2024, Short-Cycle Higher Education 2023, Short-Cycle Higher Education 2022, Short-Cycle Higher Education 2021, Short-Cycle Higher Education 2020, Short-Cycle Higher Education 2019, Short-Cycle Higher Education 2018, The statistics about short-cycle higher education describe activity on short-cycle higher education in Denmark. Short-cycle higher educations are typically 1-2 years in duration. The statistics is in its current form comparable since 2005 and is part of the overall Student Register, which contains information on all pupils and students in ordinary education in Denmark., Statistical presentation, These statistics contains yearly data about the activity on short-cycle higher education in Denmark. This includes the number of entrants, the number of completed and the number of active students. Short-cycle higher education is defined from Statistics Denmark's education classification DISCED-15 as all education classified on level 40. The statistics are divided by education and the students' age, sex, ancestry and national origin., Read more about statistical presentation, Statistical processing, The data for these statistics are collected yearly in October from the administrative systems of the educational institutions. Statistics Denmark have drawn up standards for reporting formats, validation and error searching in cooperation with the system provider ESAS, who is in charge of the administrative systems at most institutions who offer short-cycle higher education. This means that the data received by Statistics Denmark have already been controlled. In addition, a thorough error search and validation of data are done by Statistics Denmark, where data is controlled for fluctuations across time and irregularities at the individual level., Read more about statistical processing, Relevance, The statistics are relevant for public administrators, scientists and other analysts, journalists and citizens etc. as basis for prognoses, analyses and planning purposes in the educational field, but also for example in the labour market field and the integration field. The basic data for the statistics are used as background data for most of the personal statistics at Statistics Denmark, and it is the basis for the tables in StatBank Denmark about education. , Read more about relevance, Accuracy and reliability, The administrative systems that are the basis for the statistics are used by the institutions for their own daily administration of the students and also for the payment of different economic grants. Correct registers are therefore necessary for the economy of the institutions and contributes to an expected high quality of the data source. However, occasional errors will almost always occur. These are almost always fixed before next year's publication of data., Read more about accuracy and reliability, Timeliness and punctuality, The statistics are published about 4 months after the reference time, which is 1 October. Publications are released on time, as stated in the release calendar., Read more about timeliness and punctuality, Comparability, The current time series of these statistics goes back to 2005, but statistics on short-cycle higher education have been made further back than this. It may be difficult to compare the figures internationally, as short-cycle higher education is defined differently from country to country., Read more about comparability, Accessibility and clarity, In the StatBank, these statistics can be found under the subject , Higher education, . For further information, see the , homepage of education statistics, ., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/short-cycle-higher-education

Documentation of statistics

Documentation of statistics: Development in Rents (housing)

Contact info, Prices and Consumption , Martin Sædholm Nielsen , +45 24 49 72 81 , MNE@dst.dk , Get documentation of statistics as pdf, Development in Rents (housing) 2022 , Previous versions, Development in Rents (housing) 2021, Development in Rents (housing) 2014, The statistics measure the development in rent (housing). The survey has been carried out since the 1950s. , Statistical presentation, The statistics show the development in rents before and after rent subsidies. The average development in rent before rent subsidies is used for the consumer price index and the average development in rent after rent subsidies is used for the index of net prices., Read more about statistical presentation, Statistical processing, The rent survey is 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 Landsbyggefonden and thus covers the entire population of social rental housing. Privately owned rented dwellings are covered by a sample of approx. 110,000 (only approx. 85,000 for 1. quarter of 2022) for dwellings out of a population of approx. 500,000 privately owned rented dwellings. Cooperative dwellings are covered by a sample of approx. 600 dwellings. , Social rental housing and private rental housing as well as cooperative 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). , The statistic is primarily used in calculating sub-indices in the consumer price index, the index of net retail prices and the harmonized index of consumer prices (HICP). Development in rent is used as an indicator for price development for rented dwellings and for regulating (indexation) rent contracts.s., Read more about relevance, Accuracy and reliability, It is not possible to quantify the uncertainty in the rent survey, 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 (only approx. 85,000 for 1. quarter 2022) 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 1982. The rent survey is directly comparable with similar rent-indices from other countries' EU harmonized consumer price index (HICP)., Read more about comparability, Accessibility and clarity, Figures for the rent survey can be found in the statistics bank under group 04.1-2 under resp. the consumer price index, the net price index and the EU Harmonized Index of Consumer Prices (HICP)., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/development-in-rents--housing-

Documentation of statistics

Documentation of statistics: National Accounts: Fixed Capital Stock

Contact info, National Accounts, Climate and Environment, Economic Statistics , Jonas Johansen Næsby , +45 29 44 68 24 , JJN@dst.dk , Get documentation of statistics as pdf, National Accounts Fixed Capital Stock 2024 , Previous versions, Fixed Capital Stock 2021, Fixed Capital Stock 2021, Fixed Capital Stock 2019, Fixed Capital Stock 2018, Fixed Capital Stock 2017, Fixed Capital Stock 2016, Fixed Capital Stock 2014, The purpose of the statistics is to provide a detailed picture of the economy’s total production apparatus and the part of national wealth that is held in fixed assets. Fixed assets are compiled in accordance with the guidelines in the European System of Accounts, ESA 2010, and are based on the national accounts series for investment. Fixed assets according to ESA 2010 were published for the first time in September 2014., Statistical presentation, The statistics on fixed assets comprise six variables that are compiled both at current prices and in chain-linked values. Exceptions are other changes in the volume of non-financial assets, which are not compiled in chain-linked values, and revaluations, which exist only in current prices. The six variables are: Gross capital stock of fixed assets, Net capital stock of fixed assets, Gross fixed capital formation, Consumption of fixed capital, Other changes in the volume of non-financial assets and Revaluations., Read more about statistical presentation, Statistical processing, Fixed assets are compiled using gross fixed capital formation, historical stocks and assumptions on service lives and depreciation. Investment data stem from business statistics, administrative registers and sector-specific sources, supplemented by BBR, the Motor Register and R&D statistics. Service lives follow European recommendations. Data are validated against industry and sector series and through a final macro-assessment. From 2021, all asset types are compiled using PIM based on harmonised benchmark stocks., Read more about statistical processing, Relevance, As fundamental data for everyone dealing with socioeconomic conditions like economic ministries, organizations, the press, the financial sector, larger companies, students and researchers. National accounts are used as the basis for analyzing the economic development., National accounts continuously evaluate feedback from users via national and international forums., Read more about relevance, Accuracy and reliability, A certain degree of uncertainty is linked to the data sources and the assumptions used in the compilation of fixed assets. Consistent methods and the integrated processing of sources help ensure stable results over time. Until 2020, buildings and transport equipment were compiled using direct stock methods, which generally provided a solid basis. The shift to a fully harmonised PIM approach from 2021 may introduce slightly higher uncertainty. Quality management and revisions follow the CoP, QAF and established procedures., Read more about accuracy and reliability, Timeliness and punctuality, The first version of the annual national accounts, including fixed assets, is published at the end of June in the year following the reference year. Final annual national accounts figures are published annually approximately 2.5 years after the reference year., Read more about timeliness and punctuality, Comparability, Comparisons with other statistics at a detailed industry level will often show differences, partly because of differences in definitions of variables, and partly because of the calendar year delimitation of the national accounts and its requirement of total coverage of the economic activity., Internationally there is a high degree of comparability with the national accounts of other countries because the Danish national accounts are compiled in accordance with the definitions in the European System of National Accounts ESA2010., Read more about comparability, Accessibility and clarity, The statistics are published in StatBank under , National accounts, ., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/national-accounts--fixed-capital-stock

Documentation of statistics

Documentation of statistics: National Accounts: Household Consumption Expenditure

Contact info, National Accounts, Climate and Environment, Economic Statistics , Mercedes Sophie Louise Bech , +45 51 53 61 56 , mcb@dst.dk , Get documentation of statistics as pdf, National Accounts Household Consumption Expenditure 2024 , Previous versions, Household final consumption expenditure (HFCE) is a central component of the national accounts and reflects households’ purchases of goods and services. The national accounts provide a comprehensive description of the economy as well as the transactions occurring between households, businesses, public institutions, and abroad., Consistent time series for annual HFCE figures are available from 1966, and quarterly figures are available from Q1 1990., Statistical presentation, The statistics cover household consumption of goods and services. The figures are presented in StatBank and Nyt fra Danmarks Statistik, giving users the opportunity to analyze consumption patterns and the contribution of different sectors to total household consumption., Read more about statistical presentation, Statistical processing, A set of economic statistics is used for the households final consumption expenditure. The first estimate for a period is prepared before all information is available and is based on the structure of the most recent final national accounts, with imputations using indicators such as short-term economic statistics. New sources are continuously incorporated according to a set schedule, and three years after the reference period, the national accounts and their functional distribution are considered final., Read more about statistical processing, Relevance, Household final consumption expenditure (HFCE) is relevant for all analyzing private consumption and its economic significance. This includes ministries and public authorities, which use HFCE for planning, trends, forecasts, and modelling; industry and interest organizations for analyzing consumption patterns; and researchers, journalists, and the public seeking insight into household consumption over time. User feedback is continuously considered to keep the statistics relevant and useful., Read more about relevance, Accuracy and reliability, Household final consumption expenditure (HFCE) depends on both uncertainty in the underlying data sources and on the assumptions applied. Some components, such as the retail trade statistics, are measured with relatively high precision, while others, such as imputed rent and undeclared (informal) work, are more uncertain. Initial estimates are there less precise, and subsequent revisions improve the accuracy and reliability of the HFCE., Read more about accuracy and reliability, Timeliness and punctuality, The first version of a preliminary annual national account for Households final consumption expenditure (HFCE) is published at the end of February the following year. The annual accounts are then revised in March and June, and again in June of the subsequent year. The final national accounts for HFCE are published two and a half years after the reference year., Read more about timeliness and punctuality, Comparability, Household final consumption expenditure (HFCE) is part of the national accounts and compiled according to international guidelines, ensuring cross-country comparability. Covering the period from 1966, it reflects households’ purchases of goods and services and is based on various underlying sources. Direct comparisons with other statistics can be difficult due to differing definitions, but HFCE is fully consistent with the overall national accounts., Read more about comparability, Accessibility and clarity, Information on household consumption expenditure is published in StatBank under the subjects Economy and National Accounts. The releases are accompanied by , Nyt fra Danmarks Statistik, , which provides current perspectives and selected commentary. , Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/national-accounts--household-consumption-expenditure

Documentation of statistics

Documentation of statistics: Income and consumption distribution in the household sector (experimental statistics)

Contact info, Government Finances, Economic Statistics , Ulla Ryder Jørgensen , +45 51 49 92 62 , URJ@dst.dk , Get documentation of statistics as pdf, Income and consumption distribution in the household sector (experimental statistics) 2022 , Previous versions, The purpose of the statistics is to bring together the benefits from the national accounts system, which provides a coherent description of the economy, and from microeconomic statistics on households, so that one can take a closer look at how incomes and consumption are distributed between different types of households., Statistical presentation, The distribution of income and consumption for the household sector of the national accounts is an experimental annual calculation of income and private consumption at household level, which is aggregated by quintiles and household types. The survey covers private households in Denmark., Read more about statistical presentation, Statistical processing, Virtually all economic statistics that are available are used for the national accounts. When new sources are ready, they are continuously incorporated into the national accounts according to a fixed rhythm. Three years after a given period, the national accounts are considered final., The consumption survey is a sample survey, where the number of households is 2,200 out of Denmark's total of approx. 2.8 million private households. From 2024, 3,200 will be asked. The study includes information from three data sources: Accounts, CAPI interviews and registers., Read more about statistical processing, Relevance, The statistics are relevant to everyone who deals with socio-economic conditions for households., Read more about relevance, Accuracy and reliability, The ability of the national accounts to accurately describe economic reality depends partly on the uncertainty associated with the sources and partly on the model assumptions underlying the preparation. Some parts can be calculated more precisely than others, as there is better access to source data. The first estimates of a period's national accounts will be more uncertain than the final version, which comes after three years, as they are continuously revised when new sources become available., The participation rate for the Consumption Survey in the years 2018-2022 has varied with . This creates uncertainty, not least for detailed consumption groups. For the total consumption, this means that there is an uncertainty margin of +/- 1.2 per cent. while for bread, for example, it is 2 per cent. For Food and non-alcoholic beverages, it is 1.2 per cent. , while for Alcoholic beverages and tobacco it is 4.8. There is under-reporting in a number of areas such as alcohol, tobacco, prostitution and undeclared work. The uncertainty is greater when data is based on accounting instead of interviews, and it will be greater if you look at smaller subgroups of households. , In these statistics, we have chosen a more general level to ensure greater consistency between the national accounts and the consumption survey, as well as to minimize uncertainty., Read more about accuracy and reliability, Timeliness and punctuality, The statistics were first published approx. 23 months after the end of the reference year., Read more about timeliness and punctuality, Comparability, The national accounts and the consumption survey are carried out according to guidelines from the European statistical office Eurostat. Comparable figures are published by Eurostat. The distributional figures are still experimental in both Eurostat and Denmark., Read more about comparability, Accessibility and clarity, In the Statistics Bank, the results of the statistics are published under the subject , Complete national accounts - Household consumption, total economy, ., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/income-and-consumption-distribution-in-the-household-sector--experimental-statistics-

Documentation of statistics

Documentation of statistics: Activities in small enterprises

Contact info, Science, Technology and Culture , Get documentation of statistics as pdf, Activities in small enterprises 2024 , Previous versions, Activities in micro enterprises 2022, The purpose of the statistics is to shed light on the activities e.g. the use of ICT in microenterprises, with 5-9 employees. The study focuses on topics with high topicality and attention among users, such as security measures and web sales. The content is replaced every year. The survey is developed in collaboration with users and has been carried out for the first time for 2021., Statistical presentation, The statistics are an annual survey of the activities of small businesses. The subjects that are covered are typically some that users are currently asking for more knowledge about. This could be, for example, sustainability, innovation, social responsibility and digitalisation, including the use of digital business solutions, e.g. the spread of remote meetings, robotics and artificial intelligence. It can also be ICT security measures in the company and the use of various e-sales channels., Read more about statistical presentation, Statistical processing, The statistics are a sample-based questionnaire survey. Data is collected via digital reporting. Data validation takes place in the form of consistency checks in the digital form as well as by subsequent troubleshooting and possible re-contact with the reporting parties. The published results are calculated for the population. There is stratification by industry and size., Read more about statistical processing, Relevance, Statistics Denmark is experiencing an ever-increasing demand for more knowledge about small businesses, particularly in areas such as sustainability, innovation activities and digitalisation. A greater number of variables are replaced annually as a result of new technology and the development of user needs. The ongoing development of the content of the statistics takes place in close dialogue with users., Read more about relevance, Accuracy and reliability, The survey is sample-based, and therefore associated with an uncertainty in the form of random variation in relation to industry and company size. The sampling uncertainty is limited. The survey is compulsory to answer and the response rate is therefore above 90. The enumeration of the responses from the sample to the total population partially corrects for missing responses. Some questions are of a technical nature and therefore difficult to understand in companies that do not work with technology., Read more about accuracy and reliability, Timeliness and punctuality, The statistics are published 8 months after the end of the reference period. It is usually published without delay in relation to the announced time., Read more about timeliness and punctuality, Comparability, Some of the results can be compared with results from the survey 'ICT use in enterprises', which covers companies with at least 10 employees. A large number of questions in the survey are replaced annually, so there is no coherent time series for all subjects., Read more about comparability, Accessibility and clarity, News from Statistics Denmark, and the main results are available in Danish on Statistics Denmark's homepage at the address , Statistics Denmark's homepage, . , Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/activities-in-small-enterprises

Documentation of statistics

Documentation of statistics: Enterprise Groups in Denmark

Contact info, Business Dynamics, Business Statistics , Julie Cathrine Krabek Sørensen , +45 23 66 46 60 , JCK@dst.dk , Get documentation of statistics as pdf, Enterprise Groups in Denmark 2023 , Previous versions, Enterprise Groups in Denmark 2022, Enterprise Groups in Denmark 2021, Enterprise Groups in Denmark 2020, Enterprise Groups in Denmark 2019, Enterprise Groups in Denmark 2018, Enterprise Groups in Denmark 2017, Enterprise Groups in Denmark 2016, Enterprise Groups in Denmark 2015, Enterprise Groups in Denmark 2014, Enterprise Groups in Denmark 2012, The purpose of the statistic Enterprise groups in Denmark is to describe enterprise group relations amongst Danish companies. Thus the statistic contributes to the description of the business structure in Denmark. The statistic was complied for the first time for the reference year 2009. , Statistical presentation, The statistic is a yearly compilation, which emphasizes the extent of both the number of enterprise groups and the number of full time equivalent employees herein. , The statistical unit is therefore the "Enterprise Group". An enterprise group, in these statistics, is regarded to be two or more companies located in Denmark and at the same time have a mutual ownership. A mutual ownership is regarded to be present if one Danish company owns and/or controls more than 50 per cent of another Danish company., Read more about statistical presentation, Statistical processing, The statistic is based on the Business Statistics Enterprise Group Register. Enterprise group relations are confirmed via the annual reports of the enterprises and by looking up in the Central Business Register., Read more about statistical processing, Relevance, The primary users of the statistic are various industrial organizations, politicians, researchers and the news media. As part of the establishment of the Business Statistics Data Warehouse, the statistical content and the framework for the enterprise groups statistics have been presented to the project's external research follow-up group., Read more about relevance, Accuracy and reliability, Generally the statistics is considered to be of high quality, since the central variable on number of enterprises are based on the administrative registrations, which are deemed to be reliable to a high extent. , Read more about accuracy and reliability, Timeliness and punctuality, Enterprise groups in Denmark are disseminated 18-24 months after the end of the reference year. The statistic is normally published without delay to the announced time. , Read more about timeliness and punctuality, Comparability, This statistic is only carried out in Denmark. Since 2022, the enterprises in Enterprise groups in Denmark has been based on the new activity threshold, which includes economically active enterprises. For the same year, the statistic has been expanded to include sector A: Agriculture, forestry and fishing. It is therefore not directly comparable to the previous time series covering 2009-2021., Read more about comparability, Accessibility and clarity, The results are available in Statbank Denmark. See also , Enterprise groups, ., It is possible to buy tailor-made tables, and researchers can obtain access to the micro-data upon request. , Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/enterprise-groups-in-denmark

Documentation of statistics

Documentation of statistics: Construction Activity

Contact info, Short Term Statistics, Business Statistics , Kasper Emil Dueholm Freiman , +45 23 45 47 32 , KFR@dst.dk , Get documentation of statistics as pdf, Construction Activity 2024 , Previous versions, Construction 2023, Construction 2022, Construction 2021, Construction 2020, Construction 2019, Construction 2018, Construction 2017, Construction 2016, Construction 2015, Construction 2014, The purpose of the Construction Activity statistics is to describe the development of the activity in construction in Denmark. The statistics are among other things used to estimate the business trends in the construction sector. The principal figures, i.e. without geographic distributions, is comparable back to 1998 and onwards, but historical surveys for the construction activity is available back to 1916., Statistical presentation, The quarterly construction statistics is a measurement of all construction activity demanding a building permit, stated in aggregated floor area in square meters and number of dwellings. The statistics are grouped by phase of construction, type of builder, type of building project and geographically, municipalities, regions and province. The statistics are published in the newsletter Nyt fra Danmarks Statistik (in Danish only) and in the Statbank., The COVID-19 crisis should not have an impact on this statistic. We haves been in contact with several municipalities and the feedback is that their work registering construction in The Central Register of Buildings and Dwellings on which this statistic is based is not affected and continues as before., Read more about statistical presentation, Statistical processing, The construction activity statistics are compiled on the basis of data extracted from the Central Register of Buildings and Dwellings and is updated quarterly. Data valuations (correct errors) and a number of controls (valuations of quality) are carried out. Furthermore, different diverted variables and delimitations are formed. There are both non-corrected figures ("raw" figures) and corrected figures (because of delayed reporting). The quarterly publications also contain a seasonally adjustment., Read more about statistical processing, Relevance, The statistics are used by a wide range of users, from both the private and the public sector, news media and Eurostat. From the private sector users are mainly large companies and business organizations, while mainly ministries and municipalities represent the public sector. , Furthermore, The statistics are used as input in the national accounts statistics, published quarterly by Statistics Denmark to calculate the gross value added for the construction sector and as input in other parts of Statistics Denmark, e.g. to calculate rent., Read more about relevance, Accuracy and reliability, In general, the latest figures for the construction activity must be regarded with reservations, because the data source is uncertain. The main source of inaccuracy is the delays in the municipality's data registrations in the Central Register of Buildings and Dwellings. The estimates made by Statistics Denmark attempt to address this problem. The model estimate the delays for the latest 18 months and revises the figures in respect hereof. The estimate is encumbered with uncertainty, because there is not a steady pattern in the size and causes of the delays. , Read more about accuracy and reliability, Timeliness and punctuality, The statistics of construction are published quarterly (monthly as well as quarterly statistics). The statistics are published at the beginning of May, August, November and February. The punctuality is high and there are very few delays in relation to the scheduled dates., Read more about timeliness and punctuality, Comparability, The greatest obstacle for the comparability over time is the change in 1981 from the survey-based statistic to the register-based statistic (BBR). It gives both a break in time series and a market extension of the descriptive variables, see the section on comparability over time. , Read more about comparability, Accessibility and clarity, These statistics are published monthly in a Danish press release. In the StatBank, these statistics can be found under , Producer and Import Price Index for Commodities, . For more information visit the subject page on , Construction, . It is also possible to purchase customized solutions through , DST Consulting, Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/construction-activity

Documentation of statistics

Documentation of statistics: Producer price index for renovation and maintenance

Contact info, Prices and Consumption, Economic Statistics , Peter Fink-Jensen , +45 21 34 76 92 , PFJ@dst.dk , Get documentation of statistics as pdf, Producer price index for renovation and maintenance 2025 , Previous versions, Producer price index for renovation and maintenance 2024, Producer price index for renovation and maintenance 2023, Producer price index for renovation and maintenance 2022, Producer price index for renovation and maintenance 2020, Producer price index for renovation and maintenance 2019, Producer price index for renovation and maintenance 2018, Producer price index for renovation and maintenance 2017, Producer price index for renovation and maintenance 2016, The purpose of the Producer price index for renovation and maintenance is to track the development of producer prices of renovation and maintenance tasks performed by Danish construction and craftsman companies. This covers the prices of services incl. the producer's direct costs and their profits, but excl. VAT. The statistics has been produced since 2017 with data for 2014 and onwards. It is used primarily to evaluate price developments in the construction industry, and to regulate prices and contracts., Statistical presentation, The producer price index for renovation and maintenance shows the yearly trends in the prices related to housing in Denmark. The prices are related to first commercial transactions. The first commercial transaction refers to the transaction between the requester and the producer, excl. VAT. The index reflects price changes for the production of refurbishment and maintenance services, i.e. the price the household pays a company to perform a standard refurbishment and maintenance task, such as a carpenter changing a window frame or a plumber installing a toilet., Read more about statistical presentation, Statistical processing, For the Producer price index for renovation and maintenance approximately 3,000 prices are collected from selected companies in Denmark. Prices are collected digitally. The index is calculated in a hierarchical system, where the first calculation is made on the most detailed level (basic indices). The detailed indices are subsequently weighted together to form aggregated sub indices, which are used to calculate the main index., Read more about statistical processing, Relevance, Producer price index for renovation and maintenance is used primarily to evaluate price developments in the construction industry, and to regulate prices and contracts. It is also used as a deflator in the Danish National Accounts for constant price calculations. User satisfaction levels have not been determined., Read more about relevance, Accuracy and reliability, The statistics is based on 3,000 prices from six craftsman trades. Prices are reported by businesses, which are selected according to turnover to achieve the highest possible coverage. As there are large differences between the trades, they are treated separately with separate samples. It is estimated that each trade has a coverage of at least 30 pct., and that the price development in each sample represents the development in the population at large., As the samples are not randomly selected the sampling error cannot be measured. However, overall, the index is assessed to be of high quality., Read more about accuracy and reliability, Timeliness and punctuality, The statistics are published yearly, approximately three months after the end of the reference period. Publications are released on time according to announced release times., Read more about timeliness and punctuality, Comparability, The statistics follows international standards and is therefore comparable with similar statistics from other European countries. A time series from 2014 until today is available., Read more about comparability, Accessibility and clarity, Producer price index for renovation and maintenance is published in the StatBank under the subject , Producer price index, and on the subject page , Indices for the construction sector, . In the StatBank the statistic is listed as , PRIS91, ., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/producer-price-index-for-renovation-and-maintenance

Documentation of statistics

Documentation of statistics: Accounts Statistics for Agriculture

Contact info, Food Industries, Business Statistics , Henrik Bolding Pedersen , +45 20 57 88 87 , HPE@dst.dk , Get documentation of statistics as pdf, Accounts Statistics for Agriculture 2024 , Previous versions, Accounts Statistics for Agriculture 2023, Accounts Statistics for Agriculture 2022, Accounts Statistics for Agriculture 2021, Accounts Statistics for Agriculture 2020, Accounts Statistics for Agriculture 2019, Accounts Statistics for Agriculture 2018, Accounts Statistics for Agriculture 2017, Accounts Statistics for Agriculture 2016, Accounts Statistics for Agriculture 2015, Accounts Statistics for Agriculture 2014, Accounts Statistics for Agriculture 2013, Accounts Statistics for Agriculture 2012, The purpose of the accounts statistics is to analyze the economics in agriculture including horticulture. Agriculture is divided into conventional and organic farms., In addition to this, accounts statistics also constitute a substantial input for compiling the national accounts and for EU's information network for Agricultural Book-Keeping, INLB. , The accounts statistics for agriculture, horticulture and organic farming have been calculated, respectively since 1916, 1980 and 1996. The present form of the statistics has been calculated since 2008., Statistical presentation, The statistics analyze the profit and loss accounts, balance and investments at the level of farms (enterprise level). The primary statistical data contain detailed accounts items, including items for turnover, purchases, costs, operating result of the year, assets, liabilities and investments. In addition to this, the personal finances of the households are analyzed, as information on income outside of agriculture, paid taxes and private consumption are available for some farms. The farms are broken down by full-time and part-time farms as well as types of farming., Read more about statistical presentation, Statistical processing, The data material is gathered from accounting offices organized in the Danish Agriculture and Food Council and private auditors by using electronic data collection and questionnaires. The data is classified by the economic size is made on the basis of the total standard output (SO) of each individual farm. The SO is calculated for all types of crops and species of livestock as an average of the actual outputs (correspond to the Gross Output) per hectare or per animal in a reference period of five years. Data is checked and validated and afterwards the sample are weighted to the population. , Read more about statistical processing, Relevance, These statistics are relevant to Ministries, researchers and agricultural organizations to measure the income of agricultural holdings. The collections of data also meets the Danish obligations towards the European Union's Farm Accountancy Data Network, FADN., Read more about relevance, Accuracy and reliability, The statistics are compiled on a sample population and consequently, the results are subject to some degree of uncertainty. The sample is stratified with the aim of being representative for all farms. From the population of small farms, where the variation is small, a relatively small sample is selected, while from the population of large farms a larger sample is used. Loss of sample farms are countered by higher selection rates in strata where losses do occur (based on experience)., Read more about accuracy and reliability, Timeliness and punctuality, The final statistics are published before 1st of October in the year after the accounting year while preliminary data for agriculture are published in the beginning of July., Read more about timeliness and punctuality, Comparability, The statistics are comparable back to 2008, where data have been calculated on the basis of Standard Output., The statistics are partly comparable with data from SEGES (Danish agricultural advisory service), which compiles economic key figures for different types of farming. A coordination of the concepts is conducted., Read more about comparability, Accessibility and clarity, The figures are published in , Nyt from Danmarks Statistik, . The statistics is published in StatBank Denmark under , Agricultural accounts statistics, . Furthermore the numbers are published in an annual publication, publication, on agricultural accounts statistics. More information is available on the statistics , subject page, ., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/accounts-statistics-for-agriculture

Documentation of statistics