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    Documentation of statistics: Retail Trade Index

    Contact info, Short Term Statistics, Business Statistics , Nina Thøgersen , +45 40 43 38 12 , NIT@dst.dk , Get documentation of statistics as pdf, Retail Trade Index 2026 , Previous versions, Retail Trade Index 2025, Retail Trade Index 2024, Retail Trade Index 2021, Retail Trade Index 2020, Retail Trade Index 2019, Retail Trade Index 2018, Retail Trade Index 2017, Retail Trade Index 2016, Retail Trade Index 2015, Retail Trade Index 2014, The Retail Trade Index shows the development in turnover within the retail trade sector. The statistics is published monthly and is primarily used as short term indicator for private consumption as well as the general business cycle movement., Statistical presentation, Retail trade indices are published for 42 industries and for three commodity groups: food and other everyday commodities, clothing etc., and other commodities. Value and volume indices are produced. The volume index is made for the commodity groups and special industry aggregates for Eurostat. The statistics are based on survey data from all large retail trade enterprises and a sample of the remaining retail trade enterprises, which are requested to submit information about their turnover each month. Seasonal adjustment is performed of the three main commodity groups and the total., Read more about statistical presentation, Statistical processing, The survey is based on a sample of Danish retail trade enterprises. The sample includes approximately 2,200 enterprises, and at the time of the first publication, the figures for a month are based on responses from approximately 1.800 of these enterprises for the initial publication. , The sample consist of 42 subgroups and enterprises are sampled based on their share of the yearly turnover for the given subgroup. The companies are ranked from largest to smallest and the companies, whose rank constitutes the bottom 10 pct. of turnover for their subgroup when summed, are never selected to participate. The companies whose rank lies between 11 and 49 pct. of the subgroup’s yearly summed turnover, are randomly selected. Lastly, the larger firms whose turnover altogether lies in the top 50 pct. of the yearly turnover for their subgroup are always included in the sample. The companies are selected based on VAT-declarations to the Danish tax administration. , Read more about statistical processing, Relevance, Many users who monitor the current business trends take an interest in the published statistics of retail trade. The demand for the statistics is broadly based in trade associations, the bank and finance sector, politicians, public and private institutions, researchers, enterprises, news media and Eurostat. The statistics provide input to the quarterly national accounts statistics and to Eurostat's pan-European statistics. The users view the retail trade index as an important short term indicator, and it often gets a lot of attention in the media and amongst other professional users. , Read more about relevance, Accuracy and reliability, The overall uncertainty of the total retail trade index is estimated to be less than 1 per cent. On commodity group level, the uncertainty of the group Food and other convenience goods is about the same, whereas for Clothing etc. it can be up to 3 per cent and for other consumer goods up to 2 per cent., The accuracy of the monthly growth rate is generally very high. For the total index, the uncertainty is estimated to be maximum 0.2 percentage points, while it can be a little higher on commodity group level., Read more about accuracy and reliability, Timeliness and punctuality, Indices on the main commodity groups are published already 22-28 days after the end of the month. This is rather quick for statistics based on a survey such as this. One month later the indices on the most detailed industry level are published. The punctuality is very high with delays happening very rarely. , Read more about timeliness and punctuality, Comparability, These statistics have been compiled since 1939, but they are not suited for long term time series analysis because of structural changes in the retail trade sector. The sample design and the calculation methods have been adjusted several times, last time in May 2012, where the time series back to 2000 where recalculated using new methods. , Read more about comparability, Accessibility and clarity, These statistics are published in a Danish press release and in the StatBank under , Retail Trade Index, . The Retail Trade Index also has a , subject page, ., Read more about accessibility and clarity

    https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/retail-trade-index

    Documentation of statistics

    Documentation of statistics: Folk high school courses

    Contact info, Population and Education, Social Statistics , Mattias Nørgaard Matsushita , +45 20 21 87 90 , MMT@dst.dk , Get documentation of statistics as pdf, Folk high school courses 2025 , Previous versions, Folk high school courses 2024, Folk high school courses 2023, Folk high school courses 2021, Courses and Adult Education - Folk High Schools 2020, Courses and Adult Education - Folk High Schools 2019, Courses and Adult Education - Folk High Schools 2018, Courses and Adult Education - Folk High Schools 2017, Courses and Adult Education - Folk High Schools 2016, Courses and Adult Education - Folk High Schools 2015, Courses and Adult Education - Folk High Schools 2014, The purpose is to describe the participation of the population in adult education in the sense of folk high schools and independent prevocational schools. Courses fulfilling the requirements outlined in the Danish Folk high school law are included, but also non-financed courses of a general folk high school nature. The data is a part of Statistic Denmark's register of adult education and continuing training., Statistical presentation, The Statistics gives a complete picture of the populations participation in folk high school courses as well as courses from the independent prevocational schools. Data are collected on number of participants as well as full-time equivalents. In addition data is also collected on the length of the courses. For the latest year, data based on calendar year only contains data for half a year. This is because data is published on school years so that the second half will become available once the next school year is published , Read more about statistical presentation, Statistical processing, Data are collected annually from the schools administrative systems and by manual reporting. Collected data are validated for institution, type of education, course length and personal ID number. In addition it is determined if pupils has been reported several times. After data has been validated it is divided into: type of folk high school, education area and courses length. annual equivalents are calculated based on the course length and number of participants., Read more about statistical processing, Relevance, The statistics are widely used by municipalities, counties, government departments, non-government organizations, the news media and private enterprises. No user satisfaction data has been collected., Read more about relevance, Accuracy and reliability, The most important source of inaccuracy is insufficient registrations by the administrations of the folk high schools. Various control procedures catches up with this as far as possible. In addition there are small differences in the material delivered by the folk high schools. We are currently working on solving this issue. , Read more about accuracy and reliability, Timeliness and punctuality, The statistic is issued once a year, usually in the first quarter of the year including data from approx. 6 months after the end of the collection period., In general the statistic is published in accordance with the announced time. , Read more about timeliness and punctuality, Comparability, There are statistics on folk high schools in Denmark dating back to 1901, but the statistics are in their present form comparable from 2005 to the present. However, the short courses, under 12 weeks, are only included from 2012. There is no common international standard for statistics on folk high schools, but similar statistics can be found for Norway and Sweden. There are other statistics on folk high schools in Denmark, but there may be differences between definitions (e.g. the school year) and calculation methods (e.g. calculation on the basis of grants or actual activity) which may mean that there is no direct comparability., Read more about comparability, Accessibility and clarity, The statistics are published in the StatBank under the subject , Folk high schools courses, ., Researchers can get access to the detailed data of the register of adult education and continuing training by agreement with Statistics Denmark. , Special analyses can be conducted by the Service Department of Statistics Denmark., Read more about accessibility and clarity

    https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/folk-high-school-courses

    Documentation of statistics

    Documentation of statistics: Producer and Import Price Index for Commodities

    Contact info, Prices and Consumption, Economic Statistics , Nicklas Milton Elversøe , +45 61 15 35 98 , nel@dst.dk , Get documentation of statistics as pdf, Producer and Import Price Index for Commodities 2026 , Previous versions, Producer and Import Price Index for Commodities 2025, Producer and Import Price Index for Commodities 2024, Producer and Import Price Index for Commodities 2023, Producer and Import Price Index for Commodities 2022, Producer and Import Price Index for Commodities 2021, Producer and Import Price Index for Commodities 2020, Producer and Import Price Index for Commodities 2019, Producer and Import Price Index for Commodities 2018, Producer and Import Price Index for Commodities 2017, Producer and Import Price Index for Commodities 2016, Producer and Import Price Index for Commodities 2015, Producer and Import Price Index for Commodities 2014, The statistics Producer and Import Price Index for Commodities show the price development of commodities in the first stage of transaction. The primary use is as deflators (converting nominal values to real values), but is also used as a business cycle indicator and for contract adjustments in the business sector. The index can be divided into Producer price index for commodities, Import price index for commodities and Price index for domestic commodities supply. The Price index for domestic supply of commodities can be traced back to 1876 and in the current form back to 1981. Producer Price Index for Commodities dates back to 2000 and Import Price Index for Commodities to 2005., Statistical presentation, The Producer and Import Price Index for Commodities contains monthly indices of the price development of commodities in the first stage of turnover (business-to-business), i.e. typically sales from producer to wholesaler or retailer, for commodities produced by Denmark for the domestic market and export, or for commodities imported into Denmark. The statistics are divided by product and industry groups., Read more about statistical presentation, Statistical processing, Approximately 7,400 prices from selected producers and importers in Denmark. Of these, approximately 3,800price reports for calculation of Producer Price Index for Commodities, approximately 3,600 for calculation of Import Price Index for Commodities and approximately 5900 price reports are used to calculate the Price Index for Domestic Supply. The prices are validated automatically in connection with the collection. Unusually large price developments are subsequently checked manually. The validated price developments are then aggregated in a hierarchical system, where they are given weight according to their significance to the overall price index., Read more about statistical processing, Relevance, The Producer and Import price index for commodities serves as economic key figures, cyclical indicator, deflator and a contract regulations tool. The primary users of the statistics are the Danish National Accounts, business and stakeholders in the Danish economy. The statistics meet all the requirements of the EU in terms of industry coverage, aggregation level, frequency and publication date, etc., Read more about relevance, Accuracy and reliability, The prices covered by the data collection have a direct coverage of approximately 70 percent of total revenue in the Danish economy. Weights are based on the National Accounts product balances, which covers the main part of trading in the first stage of sales within the delimitation of the statistics. Sample units are selected on a purposive basis using a top-down approach. As a random sampling method is not being utilised a subsequent assessment of sampling error is not enabled. , Published statistics are considered final. , Producer and import price index for commodities are not considered to have an increased uncertainty due to COVID-19. Data collection has been largely not impacted as a result of the crisis and subsequent non-response levels have remained at their historically low levels., Read more about accuracy and reliability, Timeliness and punctuality, The statistics are published on a monthly basis. The statistics for a given month are published on the 15th of the following month or the first business day thereafter. The statistics are usually published without delay in relation to the scheduled date., Read more about timeliness and punctuality, Comparability, Statistics Denmark has calculated variations of this statistic since 1876. The Producer and import price index for commodities can be found as an unbroken monthly time series from 2005 to today. The statistics have been prepared according to international standards and can therefore be compared to similar statistics from other European countries., Read more about comparability, Accessibility and clarity, The statistics are published monthly by Statistics Denmark via press release ", Nyt fra Danmarks Statistik, " (in Danish only) and specifically regard Producer and Import Price Index for Commodities., In the StatBank, the statistics are published under the topic , Producer and import price index for commodities, . , For more information visit the , subject page, ., Read more about accessibility and clarity

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

    Documentation of statistics

    Documentation of statistics: Reported criminal offences

    Contact info, Personal Finances and Welfare, Social Statistics , Iben Birgitte Pedersen , +45 23 60 37 11 , IPE@dst.dk , Get documentation of statistics as pdf, Reported criminal offences 2025 , Previous versions, Reported criminal offences 2024, Reported criminal offences 2023, Reported criminal offences 2022, Reported Criminal Offences 2021, Reported Criminal Offences 2020, Reported Criminal Offences 2019, Reported Criminal Offences 2018, Reported Criminal Offences, Year 2017, Reported Criminal Offences, Year 2016, Reported Criminal Offences 2015, Reported Criminal Offences, Year 2014, Reported Criminal Offences, Year 2013, Documents associated with the documentation, Rape: Reported criminal offences 2024 (docx), Kriminalitetsstatistikkens grundbegreber og kilder (pdf) (in Danish only), The statistics analyze the number of criminal offences in violation of the criminal code and the special laws (except those contained in the Danish Road Traffic Act) to the police. The statistics on reported criminal offences date back to 1921. Until 1990, Statistics Denmark received monthly copies of the offence reports from the police for registration. Since 1 January 1990, Statistics Denmark has received data both quarterly and annually from the Central Register of Reported Offences, a register administered by the National Commissioner of the Danish Police., Statistical presentation, The statistics show the number of offences of criminal code and special laws/legislation reported to the police or discovered by the police itself., The statistics on reported criminal offences form part of the Danish System of Criminal Statistics. The System of Criminal Statistics includes data on criminal cases from the reported offences and charges to the convictions plus arrests and imprisonments., Read more about statistical presentation, Statistical processing, The source of the statistics is The Central Register of Reported Criminal Offences - administered by the National Commissioner of the Danish Police. Data are delivered yearly via System-to-system transmission., The data go through a probability check in form of a comparison with data from the previous year, key variables are checked for valid values and irrelevant offences are deleted., Read more about statistical processing, Relevance, The statistics are used broadly by the authorities, organizations, researchers, the press etc. The tables in the statbank.dk are used frequently. Views and suggestions from key users are taken into consideration in the preparation of the statistics., Read more about relevance, Accuracy and reliability, The accuracy of the statistics on reported criminal offences is considered to be good. The data come from a single administrative register system storing information on all reported crimes. Analyses have shown that approximately 5 percentages of the crimes registered in a calendar year, are committed in an earlier year. Corresponding approximately 5 percentages of all crimes reported committed in a calendar year are not registered until a following year. The statistics do not include information on the hidden criminality, i.e. committed criminal offences not reported to the police., Read more about accuracy and reliability, Timeliness and punctuality, The publishing time for the statistics is about 2 months. The statistics are usually published without delay in relation to the scheduled date., Read more about timeliness and punctuality, Comparability, The statistics have been prepared on the same basis since 1990. Due to changes in the grouping of the criminal offences and changes in the 'clear-up-concept' caution should be shown by comparing figures over time before this year., Eurostat collects annual data from the member states on reported criminal offences and publishes statistics based on this. However, according to the Eurostat metadata, the range of items included in the different groups of crime differs between countries and comparisons based upon absolute figures are therefore misleading., Read more about comparability, Accessibility and clarity, These statistics are published yearly in a Danish press release. In the StatBank, these statistics can be found under , Reported criminal offences, . For further information, go to the , subject page, . , Read more about accessibility and clarity

    https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/reported-criminal-offences

    Documentation of statistics

    Documentation of statistics: Reported Criminal Offences (Quarterly)

    Contact info, Personal Finances and Welfare, Social Statistics , Iben Birgitte Pedersen , +45 23 60 37 11 , ipe@dst.dk , Get documentation of statistics as pdf, Reported Criminal Offences (Quarterly) 2025 Quarter 4 , Previous versions, Reported Criminal Offences (Quarterly) 2025 Quarter 3, Reported Criminal Offences (Quarterly) 2025 Quarter 2, Reported Criminal Offences (Quarterly) 2025 Quarter 1, Reported Criminal Offences (Quarterly) 2024 Quarter 4, Reported Criminal Offences (Quarterly) 2024 Quarter 3, Reported Criminal Offences (Quarterly) 2024 Quarter 2, Reported Criminal Offences (Quarterly) 2024 Quarter 1, Reported Criminal Offences (Quarterly) 2023 Quarter 4, Reported Criminal Offences (Quarterly) 2023 Quarter 3, Reported Criminal Offences (Quarterly) 2023 Quarter 2, Reported Criminal Offences (Quarterly) 2023 Quarter 1, Reported Criminal Offences (Quarterly) 2022 Quarter 4, Reported Criminal Offences (Quarterly) 2022 Quarter 3, Reported Criminal Offences (Quarterly) 2022 Quarter 2, Reported Criminal Offences (Quarterly) 2022 Quarter 1, Reported Criminal Offences (Quarterly) 2021 Quarter 4, Reported Criminal Offences (Quarterly) 2021 Quarter 3, Reported Criminal Offences (Quarterly) 2021 Quarter 2, Reported Criminal Offences (Quarterly) 2021 Quarter 1, Reported Criminal Offences (Quarterly) 2020 Quarter 4, Reported Criminal Offences (Quarterly) 2020 Quarter 3, Reported Criminal Offences (Quarterly) 2020 Quarter 2, Reported Criminal Offences (Quarterly) 2020 Quarter 1, Reported Criminal Offences (Quarterly) 2019 Quarter 4, Reported Criminal Offences (Quarterly) 2019 Quarter 3, Reported Criminal Offences (Quarterly) 2019 Quarter 2, Reported Criminal Offences (Quarterly) 2019 Quarter 1, Reported Criminal Offences (Quarterly) 2018 Quarter 4, Reported Criminal Offences (Quarterly) 2018 Quarter 3, Reported Criminal Offences (Quarterly) 2018 Quarter 2, Reported Criminal Offences (Quarterly) 2018 Quarter 1, Reported Criminal Offences (Quarterly) 2017 Quarter 4, Reported Criminal Offences (Quarterly) 2017 Quarter 3, Reported Criminal Offences (Quarterly) 2017 Quarter 2, Reported Criminal Offences (Quarterly) 2017 Quarter 1, Reported Criminal Offences (Quarterly) 2016 Quarter 4, Reported Criminal Offences, Quarter 2016 Quarter 3, Reported Criminal Offences, Quarter 2016 Quarter 2, Reported Criminal Offences, Quarter 2016 Quarter 1, Reported Criminal Offences, Quarter 2015 Quarter 4, Reported Criminal Offences, Quarter 2015 Quarter 3, Reported Criminal Offences, Quarter 2015 Quarter 2, Reported Criminal Offences, Quarter 2015 Quarter 1, Documents associated with the documentation, Rape: Reported criminal offences 2025Q4 (docx), The purpose of the statistics is to show the number of criminal offenses in violation of the penal code and the special laws (except those contained in the Danish Road Traffic Act) to the police. The statistics on reported criminal offences date back to 1921, but are in its present form comparable from 1995 onwards., Statistical presentation, The statistics are a quarterly statement of the number of offences of penal code and special laws/legislation reported to the police or discovered by the police itself. The reported criminal offences can be broken down by type of offenses and geographical on regions and municipalities., Read more about statistical presentation, Statistical processing, The source of the statistics is The Central Register of Reported Criminal Offences - administered by the National Commissioner of the Danish Police. Data are delivered quarterly via system-to-system transmission., The data go through a probability check in form of a comparison with data from the previous year, key variables are checked for valid values and irrelevant offences are deleted., Read more about statistical processing, Relevance, The statistics are used broadly by the authorities, organizations, researchers, the press etc. as a basis for public and private planning, training, research and public debate. Views and suggestions from key users are taken into consideration in the preparation of the statistics., Read more about relevance, Accuracy and reliability, The statistics are made based on the data recorded at the time the extract is made. There is also produced an annual statistics for this area which is more complete. Comparisons between the quarterly statistics and the annual statistics reveal that the quarterly statistics under-estimate the number of reported criminal offences with approximately 6 percentages. There is, from quarter to quarter, a shift in the data; part of the registered reported crimes in a given quarter may refer to a previous quarter., The statistics do not include information on the hidden criminality, i.e. committed criminal offences not reported to the police., Read more about accuracy and reliability, Timeliness and punctuality, The publishing time for the statistics is about 20 days. The statistics are usually published without delay in relation to the scheduled date., Read more about timeliness and punctuality, Comparability, The statistics have been prepared on the same basis since 1995. Due to changes in the grouping of the criminal offences caution should be shown by comparing figures over time before this year., Read more about comparability, Accessibility and clarity, The statistics are publiced in the StatBank under the subject , Reported criminal offences, . For further information, go to the , subject page, ., Read more about accessibility and clarity

    https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/reported-criminal-offences--quarterly-

    Documentation of statistics

    Scheduled Releases

    Postponed releases, The following Statbank Denmark tables regarding , Production and accounts of organic farming and horticulture, scheduled for release 20-02-2026 have been postponed until 16-03-2026: OEKO11, The following Statbank Denmark tables regarding , Roads, scheduled for release 30-01-2026 have been postponed until 27-04-2026: VEJ2, Select filtering, Subject group, All subjects, People, Labour and income, Economy, Social conditions, Education and research, Business, Transport, Culture and leisure, Environment and energy, About Statistics Denmark, Subsubject, All subsubjects, Absence and labour disputes, Accommodation and travel, Adult education and continuing training, Agriculture, horticulture and forestry, Area, Balance of payments and international trade, Business economy, Business tendency surveys, Construction, Consumption, Crime and justice, Cultural heritage, Democracy, Digital behaviour and cultural habits, Digital payments, Education, economy and employment in the cultural field, Educational pathways, Educational status of the population, Employment and unemployment, Energy consumption and energy prices, Environmental-economic accounts, Film and theatre, Financial markets, Financial sector, Fishery and aquaculture, Full-time education programmes, General government economy, Goods transport, Health, Households and family matters , Housing, Income and earnings, International enterprises, Labour market status of the population, Libraries, Living conditions, Manufacturing industries, Means of transport, Migration, Museums and zoos, Music, Names, National accounts, National church, News media and literature, Organic production and trade, Passenger transport, Persons on public benefits, Population, Price index, Property, Releases about Statistics Denmark, Research, development and innovation, Service sector, Social support services, Sports, Structure of business, Trade, Traffic accidents, Traffic and infrastructure, Wealth, Udgivelsestype, All releases, News from Statistics Denmark, StatBank tables, Publications, Analysis, Periode, Today, 8 days, 1 month, 3 months, 6 months, 1 year, Showing 1 to 82 of 82,  , Delayed releases

    https://www.dst.dk/en/Statistik/planlagte

    Documentation of statistics: Net Price Index

    Contact info, Prices and Consumption, Economic Statistics , Martin Sædholm Nielsen , +45 24 49 72 81 , MNE@dst.dk , Get documentation of statistics as pdf, Net Price Index 2026 , Previous versions, Net Price Index 2025, Net Price Index 2024, Net Price Index 2023, Net Price Index 2022, Net Price Index 2021, Net Price Index 2020, Net Price Index 2019, Net Price Index 2018, Net Price Index 2017, Net Price Index 2016, Net Price Index 2015, Net Price Index 2014, Documents associated with the documentation, Notat-om-forbruger-og-nettoprisindekset-i-forbindelse-med-corona-krisen (pdf) (in Danish only), Vægtgrundlag 1991 til i dag (xlsx) (in Danish only), FPI-dokumentation - opdateret maj 2020 (pdf) (in Danish only), Vejledning til regulering med prisindeks (pdf) (in Danish only), Klassifikationskoder og beskrivelser (pdf), The purpose of the net price index is to measure the development of the prices, less indirect taxes and duties and including price subsidies, charged to consumers for goods and services bought by private households in Denmark. The index of net retail prices has been calculated since 1980, but there are estimated figures for the development in net prices back to February 1975. The weights were last adjusted in connection with calculating the index for January 2014 and are based on private consumption expenditure in 2012., Statistical presentation, The index of net retail prices shows the development of prices, minus indirect taxes plus subsidies, for goods and services bought by private households in Denmark. Thus, the index also covers foreign households' consumption expenditure in Denmark, but not Danish households' consumption expenditure abroad. The index shows the monthly changes in the costs (minus indirect taxes plus general subsidies) of buying a fixed basket of goods, the composition of which is made up in accordance with the households' consumption of goods and services., The index of net retail prices can best be characterized as a fixed weight index of a Laspeyres-type. The prices that are included in the index of net retail prices are not the prices paid by the consumers, but the purchase prices after deduction of indirect taxes and addition of subsidies (to the extent possible). The only exception to this is rent payments where the total rent, i.e. the share of rent payments, is included. The weights are calculated on the basis of data from the national accounts on final consumption expenditure of households in Denmark, distributed among 70 commodity groups. For each of these, a further division is made by using the detailed information on consumption expenditure from the Household Budget Survey., The price indices for April, May, June, July, August, September, October, November, December 2020 and January, February, March, April, May and June 2021 are more uncertain than usual, as the non-response rate has been significantly larger than normal and some businesses have been shut down due to COVID-19. , Read more about statistical presentation, Statistical processing, The index of net retail prices is calculated on the basis of 23,000 prices collected from approx. 1,600 shops, companies and institutions throughout Denmark. Most prices are by far collected monthly. The data material received is examined for errors, both by computer (using the so called HB-method) and manually. The different goods and services, which are included in the index of net retail prices, are first grouped according to approx. 500 elementary aggregates for which elementary aggregate indices are calculated. The elementary aggregate indices are weighted together into sub-indices that are in turn aggregated into the total index of net retail prices. In calculating a price index it is assumed that the baskets of goods that are compared are identical, also with respect to the quality of the goods. Mainly indirect quality adjustment methods are being applied in the index of net retail prices in connection with changes in the sample. The index of net retail prices is not seasonally adjusted., Read more about statistical processing, Relevance, The index of net retail prices is generally viewed as a reliable statistic based on the views of users., Important users are among others the Ministry of Finance, The Ministry of Economic Affairs and the Interior, The Danish Central Bank and private banks and other financial organizations., Read more about relevance, Accuracy and reliability, No calculation has been made of the uncertainty connected with sampling in the index of net retail prices as the sample is not randomly drawn, but the quality of the index of net retail prices is accessed to be high. In connection with COVID-19, uncertainty is greater than usual as it has been difficult to collect prices and many industries have been closed down., In addition to the "general" uncertainty connected with sampling, there are a number of sources of potential bias in the net price index. One source is the consumers substitution between goods and shops and another source is changes in the sample., Read more about accuracy and reliability, Timeliness and punctuality, The index of net retail prices 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 index of net retail prices is related to the European Union harmonized index of consumer prices (HICP)., The European Union harmonized index of consumer prices (HICP) is based on actual consumer prices, whereas the index of net retail prices is based on the purchase prices after deduction of indirect taxes and VAT and addition of subsidies (to the extent possible)., From January 2001, the only difference between the national index of net retail prices and the HICP is apart from the price concept the coverage of goods and services, as owner-occupied dwellings is only recorded in the index of net retail prices and not in the HICP. , The index of net retail prices is also related to the consumer price index. The two indices comprise the same groups of goods and services and are calculated according to the same methodology. Consequently, the only difference between the two indices is the price concept used, as indirect taxes and VAT are subtracted in the index of net retail prices, and the weighting., Read more about comparability, Accessibility and clarity, These statistics are published monthly in a Danish press release and in the StatBank under , Net Price Index, ., Read more about accessibility and clarity

    https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/net-price-index

    Documentation of statistics

    Documentation of statistics: Road Traffic Accidents

    Contact info, Population and Education, Social Statistics , Jørn Korsbø Petersen , +45 20 11 68 64 , JKP@dst.dk , Get documentation of statistics as pdf, Road Traffic Accidents 2021 , Previous versions, Road Traffic Accidents 2020, Road Traffic Accidents 2019, Road Traffic Accidents 2018, Road Traffic Accidents 2017, Road Traffic Accidents 2015, Road Traffic Accidents 2014, Road Traffic Accidents 2013, The purpose of the statistics is to collect and publish information on road traffic accidents in order to create a basis of knowledge for making decisions that can reduce the number of road traffic accidents and the consequences thereof. The statistics on road traffic accidents originate from 1 January 1930. The source of the statistics has until 1 January 2003 been the temporary and final reports from the police. From this date Statistics Denmark only receives an annual extract from the Road Directory with the police's final reports. Apart from this, the most fundamental alterations that have been introduced concern the classification of accidents, the scope of the statistics and the actual reporting procedures., Until 1938, the classification of accidents was not unambiguous. From 1938 to 1966, accidents were categorized according to the main cause of the accident, which was determined by a legal judgement. From 1967 onwards, this judgement has been replaced by a classification of the accident, which is not based on the concept of blame, but on the actual description of the circumstances surrounding the accident., From 1930 to 1958, the statistics included accidents resulting in personal injury as well as damage to property. Since 1958, accidents involving only damage to property are no longer covered by the statistics, and from 1967 accidents involving only pedestrians are no longer covered either, whether the accident resulted in a casualty or not., Up until and including 1975, the police reports were sent straight to Statistics Denmark. In 1976, the reporting system was expanded, so that the highway authorities in counties and municipalities take part in the reporting by locating the accidents. As from November 1997 and up to and including April 2000, a new system of computerized reporting was gradually introduced in the police., Since 1 January 2003 the police reports have been sent to the Road Directorate from whom Statistics Denmark receives an annual extract., Statistical presentation, The statistics on road traffic accidents illustrate the extent and the nature of all accidents involving casualties, who are known by the police. The information on road traffic accidents is classified into three main groups: information about the accident, information about the element (vehicles, pedestrians and obstacles) and information about the person., Read more about statistical presentation, Statistical processing, Annual extract from the Road Directorate, Road Accident Information System with information for all accidents with injured., The data is checked for errors. Only few corrections is made. No seasonally adjustment is made., Read more about statistical processing, Relevance, National users: Ministries (primarily the Ministry of Traffic), the police districts, the highway authorities in counties and municipalities, organizations, research centers, the education system and private persons., Eurostat: The register is made anonymous and sent to Eurostat, as input for the Community Database on Accidents on the Roads in Europe (CARE)., Area of application: Local and central planning aimed at reducing road traffic accidents, education, research and public debate., Read more about relevance, Accuracy and reliability, A general problem concerning the road traffic accident statistics is that they do not include accidents involving casualties, which are not reported to the police. The severity of the accident and the mode of transport are factors, which influence whether the police are involved. Examinations - pooling with the Register of Causes of Death and with registries of casualty award visits and hospital admissions caused by road traffic accidents - have proven that almost all accidents involving deaths are reported. Accidents involving serious personal injury are more frequently reported than accidents involving only slight injuries. Furthermore, accidents involving cars are more frequently reported than accidents involving bicycles and mopeds. In average only 20 per cent of the casualties come to the knowledge of the police. Results of the pooling with registries of casualty award visits can be found in the table MOERKE in , Statbank, ., Read more about accuracy and reliability, Timeliness and punctuality, The statistics are usually published without delay in relation to the scheduled date - ult. June after the year after., Read more about timeliness and punctuality, Comparability, These include changes in the registration of road traffic accidents resulting in inconsistencies of data as well as the introduction of new variables. Since 1958, accidents involving only damage to property have been omitted from the statistics. In January 1967, the definition of road traffic accident involving casualties was changed to include only accidents involving at least one vehicle. This leaves out accidents involving only pedestrians. From January 1967, the classification of accidents according to main and secondary causes was changed to a classification according to the accident situation, based on an objective evaluation of the course of events leading up to the accident. In January 1981, the definition of slightly injured was changed. Minor bruises, scrapes and the like are no longer considered as slight injuries. In January 1983, the structure and contents of the statistical system were changed. New parameters - e.g., cycle paths, collision point, maneuver concerning the element record, and on driving license and moped license - were introduced. From January 1997, individuals who are admitted to hospital for observation due to concussion should be registered as slightly injured in cases where the diagnosis does not turn out to be concussion of the brain., Legal changes, such as the introduction of and changes to speed limits and limits for level of alcohol in the blood, and requirements concerning the use of seat belts, helmets, child seats, lights, etc., can influence the overall development in the road traffic accident statistics., Read more about comparability, Accessibility and clarity, Statistics appear in:, News from Statistics Denmark., Annual publications: , Statistical Yearbook, Statistical 10-Year Review, and , Færdselsuheld, (Road Traffic Accidents)., Statbank, .Transport, Traffic accidents: UHELD1, UHELDK1, UHELD2, UHELDK2, UHELD3, UHELD4, UHELD5, UHELD6, UHELD7, UHELDK7, UHELD8, UHELD9, UHELD10, UHELD11, UHELD12, UHELD13, MOERKE., Read more about accessibility and clarity

    https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/road-traffic-accidents

    Documentation of statistics

    Documentation of statistics: Persons below the state pension age on public benefits

    Contact info, Labour Market, Social Statistics , Mikkel Zimmermann , +45 51 44 98 37 , MZI@dst.dk , Get documentation of statistics as pdf, Persons below the state pension age on public benefits 2025 , Previous versions, Persons below the state pension age on public benefits 2024, Persons below the state pension age on public benefits 2022, Persons below the state pension age on public benefits 2020, Persons below the state pension age on public benefits 2019, People Receiving Public Benefits (16-64-years-old) 2018, People Receiving Public Benefits (16-64-years-old) 2017, People Receiving Public Benefits (16-64-years-old) 2015, People Receiving Public Benefits (16-64-years-old) 2014, The purpose of the statistics is to show trends in average/full-time participation in labour market policy measures. Based on a report prepared by the activation statistics committee (report no. 1259) the first statistics were compiled as from the first quarter of 1994. The reason for setting up the committee was that the Danish statistics at that time were unable to provide reliable data on the wide variety of municipal activation schemes. The committee's work was performed over the period December 1992 to October 1993. Since 1994 new measures have been introduced and others have ceased. As from the third quarter of 1999 the number of persons working in flex- and sheltered jobs are published concurrently with the labour market policy measures. Persons participating in activation according to the job integration act were included from the first quarter of 2000. As from the third quarter of 2003, and with effect in the publications as from the first quarter of 2004, a number of changes to the codes/names were undertaken due to a political reform that meant the introduction of new activation schemes, whereas other schemes ceased to exist. From 2007 the statistics is extended with persons on early retirement pay, sickness benefit, maternity leave and from 2008 it is extended furthermore with young people in ordinary education ('SU-modtagere')., Statistical presentation, The statistics provide data on trends in the average number of participants (beneath their state pension age) with public benefits, analyzed by labour market policy measure. The activities take place within the following main groups: Unemployed, persons in supported employment, leave, education/training, other activation, integration allowance, sickness benefit and different kinds of early retirement pay. The figure on average number of participants (full-time participants), is a volume measurement. The figures is comparable with the average number of full-time unemployed in the unemployment statistics., From June 2022 the statistics is extended to include persons receiving 'Early Pension", 'Senior Pension' and 'Adult apprenticeship support'. From March 2025 and again from September 2025 the statistics on sickness benefit recipients is changed., Read more about statistical presentation, Statistical processing, All data necessary for the statistics is collected from administrative registers. The data is collected through SAS-files and FTP-servers. When the data files are collected we make a preliminary validation of each file. Afterwards the data is loaded in the database (PSD) on a uniform format. After that illegal overlapping time periods where the same person is receiving different conflicting public benefits are eliminated before the total data amount is transmitted into a 'production database' from where the statistics is published., Read more about statistical processing, Relevance, 'Users': Municipalities, regions, ministries, organizations and the media. 'Fields of application': Public labour market surveillance. There has not been any actual 'satisfaction-examination' carried out, but the general use of the statistics, media, has always been considerable, and the statistics is expected to be an important part of the future 'Labour market account' (AMR), which is going to be released in the spring 2015., Read more about relevance, Accuracy and reliability, All data necessary for the statistics is collected from administrative registers. The statistics cover the population aged 16-64 who is receiving some sort of public benefits. Conflicting and erroneous information about each individual person may frequently occur as the statistics are compiled from a variety of administrative registers. Examples are a person who is regarded as both a recipient of cash benefits and as a person entitled to claim unemployment benefits, or a person participating in several activation schemes at the same time, which exceed 37 hours per week, or a person participating in the same activation over an unrealistic long period of time. The main reason for these errors is that the respondents fail to update the existing data as soon as new data is available. Error correction is some times undertaken by Statistics Denmark on the basis of logical requirements and some times by the respondents themselves. However, the best possible solution is for error correction to be undertaken by the respondents themselves. The municipalities report data on persons entitled to claim cash benefits and similar allowances in various ways. Currently there is no estimates/numbers available on the total statistical errors., Read more about accuracy and reliability, Timeliness and punctuality, The quarterly statistics is published roughly 80 days after the end of the reference quarter and the yearly statistics is published roughly 100 days after the end of the reference year. The exact release dates are advertised a year ahead., Read more about timeliness and punctuality, Comparability, The current statistics on persons receiving public benefits covers in general the time period from the 1. of January 2007 and onwards. Persons receiving ordinary education (SU-modtagere) is only included from the 1. of January 2008 and onwards. From 2006 to 2007 there are some differences in the covering and in the concepts. However, some time series in the stat bank starts back in the first quarter of 1994. The general comparability is reduced by the many changes in the measures over time. When the statistics is based on a number of national administrative registers it is obviously very difficult to make any international comparisons. However, Eurostat has tried to make some international comparisons in the area of participants/expenditures on some sorts of public benefits through their Labour Market Policy (LMP)-database., Read more about comparability, Accessibility and clarity, These statistics are published in a Danish press release and in the StatBank under , Persons below the state pension age on public benefits, . For more information please see the subject page for , Persons receiving public benefits, ., Read more about accessibility and clarity

    https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/persons-below-the-state-pension-age-on-public-benefits

    Documentation of statistics