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Documentation of statistics: Land Accounts

Contact info, National Accounts, Climate and Environment, Economic Statistics , Michael Berg Rasmussen , +45 51 46 23 15 , MBR@dst.dk , Get documentation of statistics as pdf, Land Accounts 2024 , Previous versions, Land Accounts 2021, Land Accounts 2018, Land Accounts 2016, These statistics concern the size of the land area of Denmark, how it is covered and how it is used. Land cover estimates how Denmark is covered by roads, buildings, crops, forests, lakes etc. Land use estimates for what purpose the land area of Denmark is used, e.g. for housing, industry, trade, recreation etc. Land accounts are part of the the Environ­mental-Economic Accounts (Green National Accounts)., Statistical presentation, Land accounts has three parts. Denmark's area in square kilometers in total and by municipalities and regions, land by land cover and land use by industry. Land by land cover and land use by industry are stated in square kilometers, square meter per capita and in percentage of the total land area, geographically divided by provinces and regions., Read more about statistical presentation, Statistical processing, The land cover accounts have been produced from consolidating a number of source maps, all of which shows aspects of Danish land cover. All the maps have been overlaid using GIS techniques and aggregated into one map. The main part of the GIS-related work has been carried out by DCE, Aarhus University. , The land use accounts have been produced by combining the Cadastral map with the registers on buildings, dwellings, businesses, municipal plans etc. The classifications from the registers have been combined and prioritized to create the classification of land by land use., Read more about statistical processing, Relevance, The land accounts are relevant for users interested in how Danish land is used, and how this changes over time - including analyses of how different land covers and land uses may compete as demand for more urban land or more protected nature will have to mean less of other uses., Read more about relevance, Accuracy and reliability, The statistics are well documented and transparent, building on all relevant map sources for the land cover of Denmark. Quality of the land use accounts is considered to be good, but the uncertainties are bigger than for the land cover. This is because the method is new and these accounts are the first published of their kind. As for many other statistics, the higher level of detail, the higher the uncertainties. , Read more about accuracy and reliability, Timeliness and punctuality, Statistics on the size of Denmark's land area is published by the end of February, in the year following the reference year. On the other hand, land by land cover and land use by industry do not have a fixed publishing rhythm, but have so far been published at years intervals. These statistics are published without delay, with reference to the announced time of publication in the release calendar., Read more about timeliness and punctuality, Comparability, The land cover accounts is fully compatible between 2011, 2018, 2021 and 2024. Compatibility with older statistics on land cover is limited, as there have been major changes to sources as well as methods. Land use has so far only been measured for one reference year., Read more about comparability, Accessibility and clarity, Statistics on the size of Denmark, land by land cover and land use by industry are published in the StatBank under , Land use accounts, and , Natural resource accounts, . Furthermore, Land accounts is part of the Environ­mental-Economic Accounts (Green National Accounts)., Read more about accessibility and clarity

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

Documentation of statistics

Documentation of statistics: Oil and natural gas in the North Sea

Contact info, National Accounts, Climate and Environment, Economic Statistics , Jonas Foged Svendsen , +45 21 34 73 19 , JFS@dst.dk , Get documentation of statistics as pdf, Oil and natural gas in the North Sea 2023 , Previous versions, Oil and natural gas in the North Sea 2022, Oil and natural gas in the North Sea 2021, Oil and natural gas in the North Sea 2020, Oil and natural gas in the North Sea 2019, Oil and natural gas in the North Sea 2016, The purpose of this natural resource account is to analyze stocks and stock changes in oil and natural gas in the North Sea. The statistics is measured in both physical and monetary units. The time series are comparable from 1990 onwards., Statistical presentation, The physical asset account and the monetary asset account for oil and gas in the North Sea is an annual statistics showing the reserves of oil and natural gas in the North Sea, which may be recovered under the given economic conditions and with known technology measured in cubic meters (m3). Both statistics show the reserves of oil and natural gas at the beginning of the year and the changes in the reserves during the year., Read more about statistical presentation, Statistical processing, Data for this statistic is provided annually by the Danish Energy Agency. Additional information is taken from the Energy Agency's publication on the oil and gas production. The collected data have undergone validation in the Energy Agency. The validation done by Statistics Denmark during the compilation of the natural resource accounts deals solely with ensuring consistency between the opening and closing stocks., Read more about statistical processing, Relevance, The statistics is used for analysis and forecasting by ministries, industry associations, research institutions and consultants and other who want an overview of the relationships between the economy and the environment., Read more about relevance, Accuracy and reliability, Based on the known knowledge and expectations about economic and technological aspects, the natural asset accounts provide an estimate of the size of the reserves of oil and natural gas in the North Sea. The Energy Agency changes the estimate of the reserves as the reserves are extracted and when new discoveries are made. Moreover, development of new extraction technology lead to revisions of estimates. The reserves are not a static physical quantity., Read more about accuracy and reliability, Timeliness and punctuality, The statistics is published without delay compared to the planned release times., Read more about timeliness and punctuality, Comparability, The statistics are comparable from 1990 onwards. The statistics follow international standards and are thus comparable with similar statistics from other countries prepared in accordance with applicable international standards., Read more about comparability, Accessibility and clarity, The data for the oil and natural gas in the North Sea is published in the Statbank in the tables , OlieRg, and , GasRg, . See more on statistics , topic page, ., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/oil-and-natural-gas-in-the-north-sea

Documentation of statistics

Documentation of statistics: Environmental Protection Expenditures

Contact info, Science, Technology and Culture, Business Statistics , Henrik Huusom , +45 40 38 36 43 , HHU@dst.dk , Get documentation of statistics as pdf, Environmental Protection Expenditures 2024 , Previous versions, Environmental Protection Expenditures 2023, Environmental Protection Expenditures 2022, Environmental Protection Expenditures 2021, Environmental Protection Expenditures 2020, Environmental Protection Expenditures 2019, Environmental Protection Expenditures 2018, Environmental Protection Expenditures 2017, Environmental Protection Expenditures 2016, Environmental Protection Expenditures 2015, Environmental Protection Expenditures 2014, Environmental Protection Expenditures 2012, In general the statistics illustrate the total direct environmental protection expenditures in the covered types of industry. Distinction is made between current expenditures and investments. Current expenditures includes as well internal costs in the enterprises as purchase of services on environmental protection. Results can be further displayed on spending according to environmental purposes: Protection of ambient air and climate, Wastewater management, Waste management, Heat/energy saving and management and Other environmental protection activities. , Statistical presentation, The statistics describes annually the expenditures on direct environmental protection by types of industry within mining, manufacturing and utilities. Expenditure are reported at environmental purposes either as internal operating expenses or purchase of services related to environmental protection. On the investment side investments are split in either prevention or treatment., Read more about statistical presentation, Statistical processing, Data are collected among enterprises every second year. All enterprises with more than 50 employees are included plus few smaller ones where needed. From 2024 it is ensured that all large energy producers are part of the sample, regardless of main type of activity., The results from data collection are grossed up to totals for each type of industry after data are imputed for the smaller enterprises. These results are supplemented by expenditures in water supply and data from R&D statistics on environmental R&D., In years without data collection, the results are calculated using last years data, changes in turnover according to the account statistics, and the statistics on Investments in manufacturing industries , Read more about statistical processing, Relevance, The results is expected to meet the needs for the users. However, only direct costs are included in the statistics. Results from 2014 and onwards are included in the Green National Accounts., Read more about relevance, Accuracy and reliability, Overall, the results are expected to be reliable. Figures for errors are not yet compiled. The main challenge on quality is the imputation for smaller enterprises, where costs/employee rations are used. This method has been assessed in 2015 and found valid., In years without data collection the results are less secure. Analyses show close relation between turnover and environmental costs on the short run. For investments the results of the estimation is less good due to few observations behind the results., Read more about accuracy and reliability, Timeliness and punctuality, Results are published according to the schedule., Read more about timeliness and punctuality, Comparability, The comparability is expected to be good from 2014 and onwards. For the utility sector the results before 2024 is assessed as underestimated., Read more about comparability, Accessibility and clarity, The statistics are disseminated in the statbank. , Env. expenditures in manufacturing, ., Further, the results is part of a module in the Danish Environmental-economic accounts, Environmental-economic accounts, ., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/environmental-protection-expenditures

Documentation of statistics

Documentation of statistics: Forest Accounts

Contact info, National Accounts, Climate and Environment, Economic Statistics , Michael Zörner , +45 24 41 73 66 , MIZ@dst.dk , Get documentation of statistics as pdf, Forest Accounts 2024 , Previous versions, Forest Accounts 2023, Forest Accounts 2022, Forest Accounts 2021, Forest Accounts 2020, Forest Accounts 2018, Forest Accounts 2016, The forest accounts are accounts for the Danish forests as a natural resource. The accounts comprise the forest land as well as the wood (timber) resource. The forest accounts were first published in 2017, as part of the Green National Accounts for Denmark. In 2021, the accounts have been extended back in time so all data series start in 1990., Statistical presentation, The forest accounts are an annual account of the Danish forest area and the growing stock in the forests. The accounts contain opening and closing stocks as well as balancing items broken down by region. Concerning the growing stock, the accounts are in physical units (cubic meters) as well as monetary units (DKK) and are published with a division into broadleaves and conifers, whereas the forest area is accounted only in physical units (square km). The accounts are published in the StatBank as well as in general publications from the Green National Accounts for Denmark., Read more about statistical presentation, Statistical processing, The forest accounts are produced separately for forest area and for growing stock. The accounts for the forest area are obtained almost directly from the Danish reporting on land cover under the Kyoto Protocol and from the calculation of the area of undisturbed forest provided by the Agency for Green Transition and Aquatic Environment. For the physical growing stock accounts, several sources are matched and harmonized in order to compile complete and consistent accounts. From the physical growing stock accounts, the monetary accounts (in DKK) are calculated through a valuation model based on estimated prices., Read more about statistical processing, Relevance, The forest accounts are of relevance for administrative bodies, researchers, NGOs, businesses, the educational sector and individuals - all with interests in forest, natural resources, interactions between environment and economy, natural capital, sustainability etc. In the context of the United Nations and other international organizations, there is a large focus on green national accounts., Read more about relevance, Accuracy and reliability, The forest accounts are reliable estimates of the physical size of the resources, as well as the change in these over a number of years. Smaller variations from one year to the next may however reflect uncertainties rather than real changes. Especially for the monetary valuation of the growing stock (in DKK) there is significant uncertainty, both concerning the estimated prices as well as inherent in the method used which is based on a number of assumptions. The estimate for the value of the growing stock should therefore be considered a provisional estimate of the order of magnitude., Read more about accuracy and reliability, Timeliness and punctuality, The forest accounts are normally published 21 months after the reference period ends. Apart from minor adjustments of the target date, the accounts have always been published as planned., Read more about timeliness and punctuality, Comparability, The forest accounts are compiled according to the guidelines for asset accounts for natural resources from the UN statistical standard 'System of Environmental-Economic Accounting'. This ensures a high degree of comparability with the same type of accounts from other countries using this standard. The forest accounts are fully comparable across the published time series within the individual tables., Read more about comparability, Accessibility and clarity, The forest accounts are available in their most detailed form in the StatBank under the subject , Natural resource accounts, . General results are communicated through Statistics Denmark's various publications covering the Green National Accounts for Denmark. See also the topic page , Natural resource accounts, ., Read more about accessibility and clarity

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

Documentation of statistics

Documentation of statistics: Energy consumption in manufacturing industries

Contact info, Business Dynamics, Business Statistics , Ole Olsen , +45 29 77 14 98 , OLO@dst.dk , Get documentation of statistics as pdf, Energy consumption in manufacturing industries 2024 , Previous versions, Energy consumption in manufacturing industries 2023, Energy consumption in manufacturing industries 2022, Energy Consumption 2020, Energy Consumption 2018, Energy Consumption 2016, Energy Consumption 2014, Energy Consumption 2012, The purpose of the energy census for the manufacturing industry is to analyze volume and composition of the energy consumed by the manufacturing industry., Data on energy consumption by manufacturing industry is provided bi-annually from 1980 and latest 2018, 2020, 2022 and 2024., Statistical presentation, The energy census for the manufacturing industry covers all work places in industrial companies with at least 20 employees. That is equivalent to approximately 90 per cent of the energy consumption by manufacturing. It covers in principle the consumption of all energy sources in the production excl. external transport., Read more about statistical presentation, Statistical processing, Data is collected every two years from companies in industry and parts of the raw material extraction with at least 20 employees. The data undergoes a thorough error check, among other things to ensure correct unit statements and by comparing with the previous year. For workplaces subject to the CO2 quota scheme, the figures are compared with their reported energy consumption. The error-checked data is collected and adjusted by replacing missing information for 1-3 percent of the companies., Read more about statistical processing, Relevance, The results from the energy census are used by Statistics Denmark to compile energy balances that are used in the national accounts. , Furthermore, the parties involved in energy planning, for instance municipalities, counties, the Energy Agency and affected supply companies, need the information., A number of industrial associations, private companies and research institutes have also expressed an interest in the results. Furthermore, the energy census is used for energy statistics compiled by the International Energy Agency (IEA)., Read more about relevance, Accuracy and reliability, In general the quality of the statistics is good - especially main figures which builds on aggregates., At a more detailed level, the results are more uncertain, mainly due to measurement errors., Read more about accuracy and reliability, Timeliness and punctuality, Results are published no later than eight months after the end of the reference period. Publications are released on time, as stated in the release calendar. , Read more about timeliness and punctuality, Comparability, Data on energy consumption by manufacturing industry is provided from 1980 and the concept has almost been kept since. , Time series can be found in The Statbank for the years since 2012., Read more about comparability, Accessibility and clarity, These statistics are published yearly in a Danish press release, at the same time as the tables are updated in the StatBank. In the StatBank, these statistics can be found under the subject , Energy consumption, . For further information, go to the , subject page, . , Customised extracts from the statistics can be ordered. Researchers and other analysts from authorized research institutions can be granted access to the underlying microdata by contacting , Research Services, ., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/energy-consumption-in-manufacturing-industries

Documentation of statistics

R-training in Georgia

In Georgia there is definitely something to celebrate! Despite difficulties coming from the new COVID19-normal, 22 participants have just completed their first training in the IT software ‘R’ at the Georgian National Statistical Office (GeoStat) as part of the EU Twinning project. A success assigned to coordination and cooperation across different sectors and domains with multiple partners and interest groups., 18 May 2021 8:00 ,  , An IT review and a discussion with Expertise France... , EU Twinning projects run with a specific set of objectives and clearly defined activities. But in GeoStat something more is bustling as an IT review combined with an ongoing coordination across projects has led to supplementary and essential goals to be pursued., Georgia - table with gear ready for Covid19 and online meeting. , Photo: Steen B. Pedersen,  , IT-resources are scarce in GeoStat why an IT-sector review led by the , UN Economic Commission on Europe (, UNECE), which the Twinning project was invited to take part in, encouraged them to develop an IT-training strategy for both IT and statistical staff. Training of IT staff will raise the skills and competence level of staff and in the long run hopefully attract new IT staff to GeoStat. Training of statistical staff will on the other hand, loosen the pressure on IT-resources. , The IT-sector review also suggested that GeoStat considers alternatives to Excel and MS-Access for statistical production processes. And meanwhile, Twinning experts on different subject areas were working with colleagues from GeoStat on implementing new statistical products and procedures – and choosing IT software was an essential part of that work. Selecting a well-known solution would of course be the easiest on the short run, but this did not happen!  , The Resident Twinning Advisor and the Project leader from Expertise France implementing the EU funded project “Statistics for the Eastern Partnership” (STEP) had long been discussing opportunities for possible areas of cooperation and synergies between the two projects with ‘R’ being a top priority for cooperation. Now to build from the bricks of the IT-sector review and the parallel discussions around cooperation efforts, ‘R’ was instead added to both work plans and course materials with efforts to take the first steps towards implementing an open source software more systematically as an integrated part of the statistical production process.  , Conducting training in times of COVID19, Like so much else, COVID19 also challenges statistical capacity building across borders why the first R-mission in the frame of the Twinning project was conducted online. On a positive note, this allowed for more employees to participate compared to the original plan. 6 sessions, of three hours each, in a combination of plenary introductions and practical training in “breakout rooms” - covered subjects such as data manipulation, data visualisation and more advanced loops and function procedures. , The next training mission will be conducted during the summer 2021. Meanwhile GeoStat employees have the opportunity to test/put their newly adapted skills into practice.,  , # Facts , about the EU Twinning project:, Name: , Strengthening the capacity of the Georgian Statistical system, Partner: ,  , National Statistics Office of Georgia  & Statistics Denmark, Duration: , April 2019 – July 2021,  

https://www.dst.dk/en/consulting/news-from-international-consulting/2021/18-05-2021-R-training-in-Georgia

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 depends on the uncertainty of sources and the assumptions used. Some components, like retail trade, are measured accurately, while others, such as imputed rent and undeclared work, are more uncertain. Early estimates are less precise, and ongoing revisions improve HFCE’s accuracy and reliability., 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