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      Documentation of statistics: Felling of Wood in the Danish Forests

      Contact info, Food Industries, Business Statistics , Karsten Kjeld Larsen , +45 21 29 55 76 , KKL@dst.dk , Get documentation of statistics as pdf, Felling of Wood in the Danish Forests 2024 , Previous versions, Felling of Wood in the Danish Forests 2023, Felling of Wood in the Danish Forests 2022, Felling of Wood in the Danish Forests 2021, Felling of Wood in the Danish Forests 2020, Felling of Wood in the Danish Forests 2019, Felling of Wood in the Danish Forests 2018, Felling of Wood in the Danish Forests 2017, Felling of Wood in the Danish Forests 2016, These statistics cover the production of wood in Danish forests and plantations. The figures are used for the calculation of the gross value added for forestry. Statistics on felling of wood in Danish forests and plantations can be traced back to 1950., Statistical presentation, The statistics are a yearly enumeration of tree felling. The tree felling is divided into tree for energy, firewood and different kinds of timber. Timber can for instance be used for production of paper and furniture. The figures are distributed geographically by regions and provinces., Read more about statistical presentation, Statistical processing, The base of the statistics is a sample survey with questionnaires. The sample is representative for regions and size groups.., The questionnaires are completed online. Before publication the answers are validated where each single questionnaire is subject to a control for reliability. , Read more about statistical processing, Relevance, There is no survey on user satisfaction but the main impression is a high degree of satisfaction, however many users would like to have figures for area with forestry by municipalities. , Read more about relevance, Accuracy and reliability, Due to a small sample of only 10 percent of the forests the sample error is higher than for similar agricultural surveys, also because a relatively big part of the felling is among small forests with a low coverage in the sample., The sample error of felling of trees s about 2 per cent., Read more about accuracy and reliability, Timeliness and punctuality, The statistics are published in December the year after the reference year, for 2024 December 15 2025., Read more about timeliness and punctuality, Comparability, The survey has always had the same standard and the same target population. Prior to the 2012 survey Statistics Denmark conducted a project aiming at improving the register of forestry farms. At the same time the extrapolation was for the first time made dependent on the total area with forestry. It means that the total felling in 2012 estimated to 3.1 million m3 should be seen as reliable whereas the results recent years before 2012 most likely are underestimated by about 500.000 m3., Read more about comparability, Accessibility and clarity, These statistics are published yearly in a Danish press release and in the StatBank under , Forestry, ., Read more about accessibility and clarity

      https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/felling-of-wood-in-the-danish-forests

      Documentation of statistics

      Documentation of statistics: Sales of Pesticides and Pesticides Usage in Crop Farming

      Contact info, Food Industries , Karsten Kjeld Larsen , +45 21 29 55 76 , KKL@dst.dk , Get documentation of statistics as pdf, Sales of Pesticides and Pesticides Usage in Crop Farming 2016 , Previous versions, Sales of Pesticides and Pesticides Usage in Crop Farming 2014, The purpose of this statistic is to illuminate the sale and use of pesticides in agricultural crops. The statistics are used inter alia to assess the environmental and health risks associated with the use of pesticides. The statistics are comparable from 1981 onwards., Statistical presentation, The statistics are an annual statement of pesticide sales and pesticide use in agricultural crops, by weight and frequency of treatment. Pesticide sales are divided into pesticide type and pesticide group., Read more about statistical presentation, Statistical processing, Data are collected by Environmental Protection Agency., Read more about statistical processing, Relevance, The statistics cover the need for information on which substances and amounts of pesticides that are being used. This information is used along with the documentation used in connection with approval of pesticides, as an essential prerequisite in order to assess some of the environmental and health risks associated with the use of pesticides., Read more about relevance, Accuracy and reliability, Errors may occur in connection with registration of data in The Ministry of Environment as a a huge amount of data information is involved. , Read more about accuracy and reliability, Timeliness and punctuality, The statistics are published no later than the year after the end of the reference period. The statistics are published without delay in relation to scheduled release times., Read more about timeliness and punctuality, Comparability, The Danish Crop Protection Association also collects data about sales of pesticides. However, the material is not suitable for use in connection with the compilation of pesticide statistics as the association only has nineteen members. The statistics can give a rough idea about developments. The statistics are published earlier than data are received from the Danish Environmental Protection Agency., Read more about comparability, Accessibility and clarity, The statistics are published in StatBank Denmark under the topic , Raw materials and auxiliaries, in the tables , PEST1, and [PEST2](http: //http://www.Statbank.dk/PEST2)., Read more about accessibility and clarity

      https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/sales-of-pesticides-and-pesticides-usage-in-crop-farming

      Documentation of statistics

      Documentation of statistics: The Exit Register

      Contact info, Population and Education, Social Statistics , Asger Bromose Langgaard , +45 21 59 96 46 , ALG@dst.dk , Get documentation of statistics as pdf, The Exit Register 2021 , Previous versions, The Exit Register 2020, The Exit Register 2016, The Exit Register 2015, The Exit Register 2014, Exit register 2013, The Exit Register 2012, The purpose of The Exit Register is to give a fundament for describing transitions from a education group in The Transition Register to further education or the labor marked., Statistical presentation, To illustrate the transition from the education groups in the transition register to continuing education or the labor market, there are information about ongoing education or labor market status 3, 9, 15 and 21 month after exit from a education group., Read more about statistical presentation, Statistical processing, There is no data collection or disrupted data processing in connection with the production of the completion register. The starting point is a group of student who complete a education group in the transition register. For each group, there are information on education and labor status 3, 9, 15 and 21 months after departure. The information is obtained from the labor market and The Student Register., Read more about statistical processing, Relevance, The Exit Register is relevant if you want to highlight transition from education to either continuing education or the labor market., Read more about relevance, Accuracy and reliability, The information comes from the institutions' administrative register and goes through an comprehensive error check in connection with the annual data collections. The Labor Marked Account constitutes a census of the population and the statistical accuracy of the statistics is considered to be relatively high. There is, however, still some degree of uncertainty linked to the statistics. Fore further information se the statistics documentation for Labor Marked Account., Read more about accuracy and reliability, Timeliness and punctuality, These statistics are published 3 years 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, The Exit Register has been compiled since 2012 and there is no corresponding register in other countries., Read more about comparability, Accessibility and clarity, These statistics are published once a year 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 , From education to labour market, . For further information, go to the , subject page, ., Read more about accessibility and clarity

      https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/the-exit-register

      Documentation of statistics

      Documentation of statistics: Benefit to disability car

      Contact info, Personal Finances and Welfare, Social Statistics , Johanna Jallberg , +45 20 16 01 71 , JJG@dst.dk , Get documentation of statistics as pdf, Benefit to disability car 2024 , Previous versions, Benefit to disability car 2023, Benefit to disability car 2022, Benefit to disability car 2021, Benefit to disability car 2020, Benefit to disability car 2019, Benefit to disability car 2018, Cars for the disabled 2017, Cars for the disabled 2016, The purpose of these statistics is to provide information on cases on subsidies for disability cars as prescribed by section 114 of the Danish Social Services Act. These statistics were initiated in the Danish Social Appeals Board back in 1998. Until 1 July 2016, these statistics were managed by the Appeals Board, after which they were transferred to Statistics Denmark. , Statistical presentation, The statistics are an annual statement of the total amount of cases, among these are number of refusals, average time of casework counted in weeks as well as the total amount of money granted towards subsidies to disability cars prescribes by section 114 of the Danish Social Services Act. The statistics are distributed by municipalities., Read more about statistical presentation, Statistical processing, Consistent data is received from the municipalities. Data is validated, checked for logical errors, and compared to the previous year. Data is then compiled into one data set. , Read more about statistical processing, Relevance, The statistics state the decisions in the municipalities and are used by e.g. ministries, municipalities and journalists. , Read more about relevance, Accuracy and reliability, Submitting data is required by law and after validation, data is reliable to the extent that Statistics Denmark has received all decisions. Corrections for earlier statistical years may be made subsequently. , Read more about accuracy and reliability, Timeliness and punctuality, The statistics will be published approximately nine months after the expiry of the reference period. 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, Data has been collected since the year 2000. Following the Danish municipality reform in 2007, the jurisdiction was transferred from the old counties to the municipalities. From 2010 onwards, the municipalities also had to report the size of the benefits., 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 , Disability care, . For further information, go to the , subject page, . , Read more about accessibility and clarity

      https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/benefit-to-disability-car

      Documentation of statistics

      Documentation of statistics: Family benefits and child supplements

      Contact info, Labour Market, Social Statistics , Morten Steenbjerg Kristensen , +45 20 40 38 73 , MRT@dst.dk , Get documentation of statistics as pdf, Family benefits and child supplements 2024 , Previous versions, Family benefits and child supplements 2023, Family benefits and child supplements 2022, Family benefits and child supplements 2021, Family benefits and child supplements 2020, Family benefits and child supplements 2019, Family benefits and child supplements 2018, Family benefits and child supplements 2017, Family benefits and child supplements 2016, Family benefits and child supplements 2015, Family benefits and child supplements 2014, Family benefits and child supplements 2013, The purpose of the statistics about family benefits and child supplements is to illustrate the number of recipients of family benefits and child supplements plus the payments and the number of children they receive payments for. The statistics of family benefits has been published from the tax year 1957/58, but the current format dates back to 2017., Statistical presentation, The statistics describe the number of people receiving child and youth benefit and child supplements and the benefit amount. Since 2017, the statistics are based on the paid amounts each quarter as opposed for the granted amount for a set period. The statistics are published in the Statbank. The statistics are aggregated i regards to benefit type and geographical area., Read more about statistical presentation, Statistical processing, The statistics is collected directly from the IT systems paying out the family benefits and child supplements at ATP via NetCompany. Data is validated by checking for duplicate amongst others. Data are aggregated by benefit or allowance type and geographical area., Read more about statistical processing, Relevance, Users: Ministries, agencies, the Law Model, Local Government Denmark, municipalities and researchers. The statistics is used internally in Statistics Denmark. The statistics is not presented at any committees for users., Read more about relevance, Accuracy and reliability, The statistics are based on a register that covers all recipients of family benefits and child supplements, as well as the children the benefits are provided for. The data also includes correction due to errors in previous payments., Read more about accuracy and reliability, Timeliness and punctuality, Normally the statistics is published 4 months after the end of the 4th quarter. , Read more about timeliness and punctuality, Comparability, In it's current form data is fully comparable from 2017 Q1. Prior to 2017 adjustments made to payouts due to errors in preceding quarters was not included in the data., Read more about comparability, Accessibility and clarity, The statistics is published in the StatBank under the subject , Family benefits and child supplements, . For further information, go to the , subject page, ., Read more about accessibility and clarity

      https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/family-benefits-and-child-supplements

      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: Accounts Statistics by Industry

      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 by Industry 2023 , Previous versions, Accounts Statistics by Industry 2022, Accounts Statistics by Industry 2021, Accounts Statistics by Industry 2020, Accounts Statistics by Industry 2019, Accounts Statistics by Industry 2018, Accounts Statistics by Industry 2017, Accounts Statistics by Industry 2016, Accounts Statistics by Industry 2015, Accounts Statistics by Industry 2014, Accounts Statistics by Industry 2012, The purpose of the present version of accounts statistics for primary industries is to compile statistics on agriculture, fishery and aquaculture which are comparable with accounts statistics on private non-agricultural industries. Furthermore the purpose is to analyze the economics in the primary industries and can be the basis for business policy decisions. In addition to this, accounts statistics also constitute a substantial input for compiling the national accounts. Data is available for 2008 and forward., Statistical presentation, The purpose of the statistics is to analyze the activity level and the structure of the Danish primary industries yearly. The basis of the statistics is detailed accounts items e.g. turnovers, costs, profits, assets, debts and investments. This statistics is a further processing of the data collected to the accounts statistics on agriculture, fishery and aquaculture., Read more about statistical presentation, Statistical processing, The preparation of data is mainly done when the accounts statistics on agriculture, fishery and aquaculture is made. Data is checked carefully on a individual basis. Enterprises with less than 0,5 person employed (paid or own occupation) are deselected. There is not implied further editing to the data., Read more about statistical processing, Relevance, The statistics is relevant because it compares the statistics on the primary industries to the statistics on non-agricultural accounts. In addition it is also input to the national accounts., Read more about relevance, Accuracy and reliability, The statistics are compiled on the basis of a sample population and consequently, the results are subject to some degree of statistical uncertainty. However the reliability on the statistics is considered to be good. This assessment is based on a representation of agricultural land, livestock and turn-over for fisheries and aquaculture. , Read more about accuracy and reliability, Timeliness and punctuality, The statistics are published every and are expected to be published in April, 16 month after the ending of the accounting year., Read more about timeliness and punctuality, Comparability, The main purpose of the accounts statistics for the primary industries is that the results from the primary industries are comparable with the non-agricultural industries., Internationally the accounts data on agriculture are delivered to FADN while the accounts statistics on fishery and aquaculture is delivered to DG Mare, which compares the results with other EU countries., Read more about comparability, Accessibility and clarity, The statistics are available from , StatBank Denmark, . The statistics is not published other places than in StatBank Denmark., Read more about accessibility and clarity

      https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/accounts-statistics-by-industry

      Documentation of statistics

      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

      Documentation of statistics: Health Insurance Statistics

      Contact info, Personal Finances and Welfare, Social Statistics , Jonas Kirchheiner-Rasmussen , +45 61 50 23 80 , RAS@dst.dk , Get documentation of statistics as pdf, Health Insurance Statistics 2024 , Previous versions, Health Insurance Statistics 2023, Health Insurance Statistics 2022, Health Insurance Statistics 2021, Health Insurance Statistics 2020, Health Insurance Statistics 2019, Health Insurance Statistics 2018, Health Insurance Statistics 2017, Health Insurance Statistics 2016, Health Insurance Statistics 2015, Health Insurance Statistics 2014, Health Insurance Statistics 2013, These statistics focus on the consumption of health care services within the primary public health care sector . The statistics are based on annual extracts from LUNA, which is the IT system used by the regions to settle accounts for health services with the individual providers (e.g., physicians, dentists, etc.). The statistics have been compiled since 1986 but are comparable from 2006 onwards., Statistical presentation, The statistics cover visits to general practitioners and healthcare providers under the national health insurance. The statistics include the number of contacts, the associated fees, and the number of recipients., Read more about statistical presentation, Statistical processing, Data is received once a year from the Regions. It is assessed which services can be classified as contracts. Individuals with invalid CPR numbers are not included in the statistical tables. Corrections that cannot be associated with a registration in the respective year are deleted. Data is linked with background data from Statistics Denmark., Read more about statistical processing, Relevance, The statistics are used by a wide range of users, including public institutions, researchers, private individuals, and journalists. These users utilize the statistics for various purposes, including public planning, research, and public debate., Read more about relevance, Accuracy and reliability, The data come from administrative registers with full coverage. Each year, Statistics Denmark manually categorizes the services in the public health insurance system as contacts. This affects the calculation of the number of contacts and the number of individuals with contacts., Read more about accuracy and reliability, Timeliness and punctuality, The statistics are published 5-6 months after the end of the year. The punctuality is high., Read more about timeliness and punctuality, Comparability, Sundhedsdatastyrelsen produces statistics on general practice, specialist practice, and other practices. Delimitations and definitions of contacts (or the use of services instead of contacts) can result in statistics that may not appear directly comparable. Typically, any - often minor - differences could be explained by methodology and delimitation. The overall picture is clear, Read more about comparability, Accessibility and clarity, Nyt fra Danmarks Statistik and , Statbank Denmark, Annual publications (selected sections): Statistical Ten-Year Review., Read more about accessibility and clarity

      https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/health-insurance-statistics

      Documentation of statistics

      Documentation of statistics: Census of Housing

      Contact info, Population and Education, Social Statistics , Annika Klintefelt , +45 23 31 14 33 , AKF@dst.dk , Get documentation of statistics as pdf, Census of Housing 2025 , Previous versions, Census of Housing 2024, Census of Housing 2023, Census of Housing 2022, Census of Housing 2021, Census of Housing 2020, Census of Housing 2019, Census of Housing 2018, Census of Housing 2017, Census of Housing 2016, Census of Housing 2016, Census of Housing 2014, The purpose of the housing statistics is to analyze the total housing stock and population housing. The statistics is used in the municipal equalization system. The housing statistics has been conducted annually since 1981. The statistics is comparable from 2010 onwards., Statistical presentation, The statistics are produced on a yearly basis and comprises all homes in Denmark. The statistics and is described through a number of variables; type of dwelling, type of ownership, type of heating installation, toilet, bathing, and kitchen facilities plus the year of construction and also the stock of occupied dwellings by tenure (rented or owner-occupied dwellings) type of household etc. In addition, the number of persons in dwellings by age and gender and number of children. The statistics are also geographically distributed by municipalities, regions and provinces., Read more about statistical presentation, Statistical processing, BBR- and CPR-data are matched via addresses and dwellings are split into dwellings with and without registered population. Inconsistencies are corrected and data summed., Read more about statistical processing, Relevance, Census of Housing is used by ministries, municipalities, companies and private persons., Read more about relevance, Accuracy and reliability, The degree of uninformed information for each variable is very little. Close cooperation between the BBR-authority and the Population Register in each municipality ensures a good match between the addresses in the two registers., All property owners are obliged by law to notify changes such as extensions, demolitions or a new roof to the municipal BBR-authority. It is up to the homeowners to update information in BBR themselves, so it is doubtful that changes, for example in the number of rooms, toilet / bathroom conditions or change of heating are always notified BBR., Read more about accuracy and reliability, Timeliness and punctuality, Data is released timely around 3-5 months after the reference period. The statistics are published without delay in relation to scheduled release times., Read more about timeliness and punctuality, Comparability, Then Census of Housing has been based on the BBR and CPR-registers since 1. January 1981. With the exceptions of a few variables the data are consistent from 1981. There are though certain reservations for comparison during this time period. , Read more about comparability, Accessibility and clarity, These statistics are published in the StatBank under the subject , Housing, . For further information, go to the , subject page, ., Read more about accessibility and clarity

      https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/census-of-housing

      Documentation of statistics
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