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    Documentation of statistics: Short-Cycle Higher Education

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

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

    Documentation of statistics

    Documentation of statistics: International Trade in Goods by Enterprise Characteristics

    Contact info, External Economy , Søren Burman , +45 30 51 45 62 , SBU@dst.dk , Get documentation of statistics as pdf, International Trade in Goods by Enterprise Characteristics 2022 , Previous versions, International Trade in Goods by Enterprise Characteristics 2021, International Trade in Goods by Enterprise Characteristics 2019, International Trade in Goods by Enterprise Characteristics 2018, International Trade in Goods by Enterprise Characteristics 2017, The purpose of Trade in Goods by Enterprise Characteristics (TEC) is to describe enterprises engaging in foreign trade, how large they are, which economic sector they belong to, how many countries they trade with etc. These statistics have been compiled since 2010 are comparable until 2018 for legal units. From 2019 and onwards the statistics have been compiled on the basis of the enterprise unit., Statistical presentation, Trade in Goods by Enterprise Characteristics is an annual measurement of enterprises involved in foreign trade and their characteristics, stated in number of enterprises and value. The statistics are grouped by economic activity, enterprise size, partner countries, ownership, type of trade and concentration of trade until 2022. From 2023 the statistics will be a measurement of enterprises involved in foreign trade and their characteristics, stated in value and they will be grouped by economic activity, items, enterprise size and ownership. The statistics can be found in our statbank under the subject External Economy. , Read more about statistical presentation, Statistical processing, These statistics are compiled by combining data for International Trade in Goods (ITGS) with Business register data. Data is validated by comparing data with the sources used for compiling the statistics and by comparing the different tables compiled in this statistic., Read more about statistical processing, Relevance, These statistics are relevant for analysts and enterprises, for analyses of e.g. globalization and enterprises which contribute to external trade in Denmark., Read more about relevance, Accuracy and reliability, The accuracy for International Trade in Goods by Enterprise Characteristics is closely related to the accuracy of International Trade in Goods Statistics which is high on an aggregated level. The revisions follow the revision structure of International Trade in Goods Statistics., There may be changes in enterprise characteristics (e.g. size, industry and ownership) during a given year, which can give rise to a change the trade flows, but the statistics reflect the characteristics at the end of the year., Read more about accuracy and reliability, Timeliness and punctuality, These statistics are published 10 months after the reference period. They are published without any delays., Read more about timeliness and punctuality, Comparability, These statistics have been disseminated since 2014 and contains values from 2010 and onwards. It is in its present form comparable from 2010 and onwards. These statistics are compiled according to common European guidelines and are therefore comparable with statistics from other EU countries published by Eurostat. The comparability can be influenced by the difference between the general- and special trade system., Read more about comparability, Accessibility and clarity, These statistics are published annual 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 , International Trade in Goods, . The statistics can also be found in various publications and analysis’ and it is possible to gain access to microdata through our program for authorized research institutions., Read more about accessibility and clarity

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

    Documentation of statistics

    Documentation of statistics: Cereal Prices used for Regulation of Land Rents

    Contact info, Food Industries, Business Statistics , Karsten Kjeld Larsen , +45 21 29 55 76 , KKL@dst.dk , Get documentation of statistics as pdf, Cereal Prices used for Regulation of Land Rents 2025 , Previous versions, Cereal Prices used for Regulation of Land Rents 2024, Cereal Prices used for Regulation of Land Rents 2023, Cereal Prices used for Regulation of Land Rents 2022, Cereal Prices used for Regulation of Land Rents 2021, Cereal Prices used for Regulation of Land Rents 2020, Cereal Prices used for Regulation of Land Rents 2019, Cereal Prices used for Regulation of Land Rents 2018, Cereal Prices used for Regulation of Land Rents 2016, Cereal Prices used for Regulation of Land Rents 2014, The purpose of the statistics is to show the development of the farm gate prices (basic prices) for wheat and barley. Farm gate prices are used for example for regulating rents of agricultural land in tenancy and have existed since the beginning of the 17th century. For the period 1910-1970 the prices were calculated for dioceses (church districts under the jurisdiction of a bishop). In the years 1937-1953 only prices for the diocese of Zealand were calculated. In its present form the statistics have been comparable since 1985 with figures for eight different geographic areas., Statistical presentation, The statistics are a yearly calculation of farm gate prices for barley and wheat defined as basic prices. The figures are calculated for eight regions. Due to the structural reform in 2007 the names of the regions have been revised but are otherwise unchanged. , The eight districts are described in the manual to the law on cereal prices called , kapitelstakster, . Go to http://www.retsinfo.dk and search for number 10053 of the 24th of November 2006 (24/11/2006), also termed , vejledning om opgørelse af kapitelstakster, . , Read more about statistical presentation, Statistical processing, Basic prices for wheat and barley are calculated based on yearly reports from traders of cereals on bought quantities and values of wheat and barley in connection with direct trade with farmers. Normally the same firm from last years survey are selected, men periodically, every third or fourth year, new firms might be added from within the industry. In 2024 14 firms took part. , Read more about statistical processing, Relevance, The figures are used primarily by farmers to determine the rent for agricultural land. The important users are ministries, agricultural organisations, local authorities, farmers and lawyers. There is a high level of satisfactory among users., Read more about relevance, Accuracy and reliability, There is no measure of the uncertainty of the statistics, e.g. sample error or measurement error. There is no reason to believe that statistics should be subject to bias., Read more about accuracy and reliability, Timeliness and punctuality, These statistics are published about seven weeks 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, Official prices have been around since the beginning of the 17th century. From 1910-1970 the statistic covers the former Parishes "Stifter" which were the old zoning. In the period 1937-1953 statistic covers only Zealand diocese. The statistics are fully comparable back to 1985., 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 the subject , Agricultural and horticultural economy, ., Read more about accessibility and clarity

    https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/cereal-prices-used-for-regulation-of-land-rents

    Documentation of statistics

    Documentation of statistics: Milk and Dairy Products

    Contact info, Food Industries, Business Statistics , Mona Larsen , +45 24 81 68 47 , MLA@dst.dk , Get documentation of statistics as pdf, Milk and Dairy Products 2025 , Previous versions, Milk and Dairy Products 2024, Milk and Dairy Products 2023, Milk and Dairy Products 2022, Milk and Dairy Products 2021, Milk and Dairy Products 2020, Milk and Dairy Products 2019, Milk and Dairy Products 2018, Milk and Dairy Products 2017, Milk and Dairy Products 2016, Milk and Dairy Products 2015, Milk and Dairy Products 2014, The statistics are used to describe the purpose of the statistics on milk and dairy products is to illuminate the size and value of the milk production on the farms and the use of milk for dairy products. The statistics on milk and dairy product have a long history and the key figures covering the past 100 years are comparable. The statistics in their present form are comparable from 1990 onwards., Statistical presentation, The statistics on milk and milk products are a monthly and annual estimate of the total milk production of farmers. The delivered amount of milk on the dairies and the dairies' primary use of the milk weighed in and the production of a variety of fresh and processed dairy products as drinking milk and cheese. The statistics also contain data on organic milk delivered to dairies and the production of organic whole milk products for human consumption, butter and cheese. Every month data are transfer to Euro stat. , Read more about statistical presentation, Statistical processing, Data is collected monthly on milk and dairy products. Data comes primary from administrative records. The data received is checked for completeness and consistency, as well as consistency with previous periods. , Read more about statistical processing, Relevance, The statistics is of great interest to agricultural organizations, the Ministry of Environment and Food and the EU. The figures is used intern in Statistics Denmark to estimate quantity and price index, and the Account for Agriculture, which is included in the National Accounts. Data on milk and dairy product are delivered every month to Euro stat. , Read more about relevance, Accuracy and reliability, It is compulsory for dairies to register and report the milk weighed on the dairies and the dairy production to the Central Milk Register. This is the basis for settlement to farmers, which is therefore expected to be measured accurately. The calculation of prices and values is based both on actual a conto prices and partly on estimates of the anticipated after payment, which is only realized after the end of the dairy year and can thus cause uncertainty about the accrual. The estimate of the consumption of milk at farms and consumption for feed is estimated after consultation with the Dairy Association., Foreslå en ændring, Read more about accuracy and reliability, Timeliness and punctuality, The statistics are published every month. For a specific month it will be published 1½ month after the end of the month concerned. A more detail year statistics will be publish ½ year after the end of the year concerned. The statistics are usually published without delay in relation to the scheduled date. , Read more about timeliness and punctuality, Comparability, Long time series data can be compiled. Every month and year are delivered data to Euro stat. Similar data for some of the variables are available for the EU member states at Euro stats homepage., Read more about comparability, Accessibility and clarity, New month figures are published in Statbank , ANI71: Milk production and use of milk by unit (month), and yearly figures , ANI7: Milk production and use of milk by unit, . Annual figures are included in Statistical Yearbook and Statistical Ten-Year review., Read more about accessibility and clarity

    https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/milk-and-dairy-products

    Documentation of statistics

    Documentation of statistics: Farm Structure Survey

    Contact info, Food Industries, Business Statistics , Karsten Kjeld Larsen , +45 21 29 55 76 , KKL@dst.dk , Get documentation of statistics as pdf, Farm Structure Survey 2025 , Previous versions, Farm Structure Survey 2024, Agricultural and Horticultural Survey 2023, Agricultural and Horticultural Survey 2022, Agricultural and Horticultural Survey 2021, Agricultural and Horticultural Survey 2020, Agricultural and Horticultural Survey 2019, Agricultural and Horticultural Survey 2018, Agricultural and Horticultural Survey 2017, Agricultural and Horticultural Survey 2016, Agricultural and Horticultural Survey 2014, The purpose of the survey is to describe the structure of agriculture, e.g. number of farms by size and geography., The statistics have comparable time series going back to 1982. The agricultural statistics, however, are much older than that with figures for number of farms, livestock, crops etc. going back to around 1900. , Statistical presentation, The farm structure statistics are yearly and include figures on number of farms, livestock, crops and technology distributed by for instance size and geography. The statistics are published "Nyt fra Danmarks Statistik (News from Statistics Denmark) and in the statbank., Read more about statistical presentation, Statistical processing, The information is collected by means of a yearly questionnaire based survey where the farmers complete the questionnaire online. The answers are validated for non probable values., Information on crops and cattle is collected from registers, and is thereby not reported by every single farmer. , The survey is a sample survey stratified by region, size and type of farming., Read more about statistical processing, Relevance, The statistics fulfill a need for structural information on the Danish agriculture, e.g. number of farms by size and region. Important users are EU, the ministries and agricultural organizations., Read more about relevance, Accuracy and reliability, The precision varies for the different items of the statistics. The precision is thus highest for the total agricultural area and less precise for specific crops, especially crops grown by only few farmers. Likewise the precision is best for livestock which many farmers have. This is in particular true for cattle. In the same way the uncertainty is high for small geographical units, e.g. Bornholm., Read more about accuracy and reliability, Timeliness and punctuality, The survey is published about 9-12 after the survey day. This difference is due to the fact that survey varies in size from year to year, both with respect to the questionnaire and the sample size., Read more about timeliness and punctuality, Comparability, The survey is almost comparable from 1982 onwards. There is also a high degree of comparability with other European countries. Between 2009 and 2010 there is, however, a small break in the comparability since the statistics from 2010 onwards includes a number of small farms and additionally farms with fur animals. It means that the number of farms in 2010 is about 1.200 bigger than it otherwise would have been., From around 1900 to 1981 the statistical surveys also included very small farms with an area of only hectares. These figures are available for the users in paper publications, but not online. , Read more about comparability, Accessibility and clarity, The survey is published here: Online, http://www.Statbank.dk, New from Statistics Denmark, Statistical ten years review, and in the analyses of Statistics Denmark, see this analyse on [Analyse]https://www.dst.dk/da/Statistik/Analyser/visanalyse?cid=29376 , Read more about accessibility and clarity

    https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/farm-structure-survey

    Documentation of statistics

    Documentation of statistics: Eggs Production

    Contact info, Food Industries, Business Statistics , Mona Larsen , +45 24 81 68 47 , MLA@dst.dk , Get documentation of statistics as pdf, Eggs Production 2025 , Previous versions, Eggs Production 2024, Eggs Production 2023, Eggs Production 2022, Eggs Production 2021, Eggs Production 2020, Eggs Production 2019, Eggs Production 2018, Eggs Production 2017, Eggs Production 2016, Eggs Production 2015, Eggs Production 2014, The purpose of the statistics on egg production is to describe the quantity and value of eggs produced in Denmark. The statistics on eggs have a long history and date back to the 20th century. Since 1955, the statistics have been compiled on the same basis as is used today. From 1996 and onwards, the production of consumer eggs divided into production forms: i.e. eggs from caged hens, barn eggs, free-range eggs and organic eggs. , Statistical presentation, The statistics for eggs production are a quarterly and yearly measurement of the total production of eggs for human consumption and hatching eggs in Denmark. The total production of eggs includes sales to authorized packing companies and estimates for the producers' consumption of own eggs and their direct sales to consumers. The total production of eggs to authorized egg packaging centers is subdivided into the following production types: Cage eggs, barn eggs, free range eggs and organic eggs. In addition, ungraded eggs sold (barn door sales) and used on agricultural holdings are estimated. , Read more about statistical presentation, Statistical processing, Data is collected quarterly from the egg packers on the sale of weighed eggs for consumption by types of eggs. It is a random sample that covers over 90 per cent. of the total eggs weighed. The reported data is searched for errors, after which the searched data are added to the total quantities of eggs. Every month information about hatching eggs is collected from the hatcheries. Data comes from administrative records. The data received is checked for completeness and consistency as well as consistency with previous periods., Read more about statistical processing, Relevance, It is of great interest to agricultural organizations, the Ministry of Environment and Food and the EU. The figures is used intern in Statistics Denmark to estimate quantity and price index, and the Account for Agriculture, which is included in the National Accounts., Read more about relevance, Accuracy and reliability, Data on the eggs weighed in the packing centers has a high quality, as it is mandatory for egg producers to report this data with the Danish Veterinary and Food Administration. The same applies to the number of hatching eggs where it is compulsory for them to be registered in the Ministry of Food., The estimation of eggs for own consumption and sales directly to consumers is estimated. This consumption is set at 12 million kg annually and is separated separately in the Statbank. , Read more about accuracy and reliability, Timeliness and punctuality, The figures for quarters are usually published approx. 2 months after the end of the quarter. In recent years there has been trouble publishing numbers to the pre-announced time, since data has first been available approx. 2 months after the end of the quarter., Read more about timeliness and punctuality, Comparability, The statistics have been compiled since the 20th century but are in their present form comparable from 1997 onwards. Most European countries compile statistics on egg production and the statics are therefore comparable to statistics from other countries within the EU. Data enter into the Economic Accounts for Agriculture, which also enter into the National Account., Read more about comparability, Accessibility and clarity, In StatBank, figures are published under the topic of , Livestock production, Read more about accessibility and clarity

    https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/eggs-production

    Documentation of statistics

    Documentation of statistics: The Supply and Use of Cereals and Feed

    Contact info, Food Industries, Business Statistics , Simone Thun , +45 51 36 92 51 , SIT@dst.dk , Get documentation of statistics as pdf, The Supply and Use of Cereals and Feed 2023 , Previous versions, The Supply and Use of Cereals and Feed 2022, The Supply and Use of Cereals and Feed 2021, The Supply and Use of Cereals and Feed 2018, The Supply and Use of Cereals and Feed 2016, The Supply and Use of Cereals and Feed 2014, The purpose with the statistics on the Supply and Use of Cereals and Feed is to show the annual use of feed for animals and the use cereals, which is a part of the calculations of the feed consumption. The feed consumption is also calculated after the origin of the feed, if is produced in Denmark or abroad. The statistics is also use for the calculations of the Economic Accounts for Agriculture. The supply and use of cereals and feed have been compiled since 1900, but data in its present form are comparable from 1990 and onwards. , Statistical presentation, The statistics are an annual calculation of agriculture's feed supply and feed consumption calculated in millions. kg and million DKK. Feed supply and feed consumption are calculated for a large number of feed materials by drawing up balance sheets. It is calculated for both calendar year and operating year and by origin., Read more about statistical presentation, Statistical processing, Data for compiling the Supply and Use of Cereals and Feed are sourced from various other statistics and the data are are processed and aggregated. The Supply and Use of Cereals and Feed are produced by setting up balances for each individual feed material. The purpose of these balances is to calculate how much is used for feed, ensuring that supply equals usage. The feed balances establish and sum up Danish production and foreign production, subtracting exports. The remaining quantity is recorded as consumed for feed, divided into domestic and foreign consumption. For certain crops and feed materials, stock levels are added to the balance. The compilation is primarily based on the fiscal year, as this approach is considered more reliable. However, calendar-year compilations are also created to support the calculation of the Economic Accounts for Agriculture (EAA)., Read more about statistical processing, Relevance, It is relevant for the agricultural organizations, ministries and agencies, who uses it to follow the development in the amounts and costs of cereals and feed. Moreover it is an input to the Economic Accounts for Agriculture e.g. to the valuation of feeding stuff. The users can comment on the statistics in the user committee for agricultural statistics and the users have expressed satisfaction with the statistics. , Read more about relevance, Accuracy and reliability, The Supply and Use of Cereals and Feed are among other things build on sample surveys for stock of cereals at farms, the harvest of cereals and international trade of goods and the results are therefore subject to some uncertainty. The data on the use of cereals for feeding are subject to some margin of errors, as the use for feeding is calculated as a residual in the balance sheets. Surveys on stocks and turnovers at cereal trading companies are censuses and the results are quite accurate. Changes in stocks are also a possibility, which can cause uncertainty., Read more about accuracy and reliability, Timeliness and punctuality, The statistics is published once a year in May together with the Economic Accounts for Agriculture, barely 6 months after the end of the reference period. Data is preliminary until 2,5 years after the end of the reference period. The statistics is punctual and is published without delay., Read more about timeliness and punctuality, Comparability, The statistics have been compiled since 1900 but are in their present form comparable from 1990 onwards. It is in compliance with the current EU legislation and it is an input to the Economic Accounts for Agriculture which is comparable to the Economic Accounts for Agriculture published by Eurostat., Read more about comparability, Accessibility and clarity, These statistics are published in the StatBank under the subject , Feed, fertiliser and pesticides, ., Read more about accessibility and clarity

    https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/the-supply-and-use-of-cereals-and-feed

    Documentation of statistics

    Documentation of statistics: Harvest of Cereals etc.

    Contact info, Food Industries, Business Statistics , Martin Lundø , +45 51 46 15 12 , mlu@dst.dk , Get documentation of statistics as pdf, Harvest of Cereals etc. 2025 , Previous versions, Harvest of Cereals etc. 2024, Harvest of Cereals etc. 2023, Harvest of Cereals etc. 2022, Harvest of Cereals etc. 2021, Harvest of Cereals etc. 2020, Harvest of Cereals etc. 2019, Harvest of Cereals etc. 2018, Harvest of Cereals etc. 2017, Harvest of Cereals etc. 2016, Harvest of Cereals etc. 2015, Harvest of Cereals etc. 2014, The statistics illustrate the Danish harvest of grain, rapeseed, legumes and roughage. The statistics are used for research, EU reporting, calculation of GDP and energy and feed accounts. The statistics have been compiled since 1875, but in their current form are comparable from 1971 onwards. The statistics complement other statistics on vegetable production, including , Production of fruit and vegetables, . , Statistical presentation, The statistics are an annual statement of the Danish harvest of grain, rapeseed, legumes, root vegetables and roughage, calculated in area (1000 hectares), average yield (hectokg per hectare) and production (million kg). The statistics are calculated for crops and divided by region., Read more about statistical presentation, Statistical processing, Harvest of cereals, rapeseed and legumes: Data is collected annually from farmers via questionnaires and is debugged based on yield limits and added to the total population. Roughage: Data is collected from SEGES, Danish Sugar Beet Growers, DAKOFO, the Danish Agricultural Agency and Accounting Statistics for Agriculture. Where current data is missing, yields are projected from related crops with known trends., Read more about statistical processing, Relevance, The users are mainly EU and agricultural organizations. The results are included in the agricultural gross factor income. Information on the use of straw for fuel is used, among other things by the DEA., User needs are covered in the User Committee for food statistics. Statistics Denmark is also in regular contact with key users, including the Ministry of Food and research institutions., Read more about relevance, Accuracy and reliability, The response rate for the calculation of the harvest of grains, rapeseed etc. is over 95 per cent. Precision meets EU quality requirements., For coarse fodder, reliability must be considered reasonable for average yields, while it is high for area information., The forecast for winter seed areas usually deviates by 5-10 percentage points from the later established cultivated areas., Read more about accuracy and reliability, Timeliness and punctuality, The statistics are usually published without delay to the scheduled date., Preliminary data for the harvest of cereals, rape and pulses are published in late November. Final statement, including results for provinces and regions are published April of the following year, where the coarse fodder harvest alsot is published. End of reference Period: October 1. Harvesting of roughage is published April of the following year. End of reference Period: end of November. The forecast for the following year's winter land released in early December. End of reference Period: October 15, Read more about timeliness and punctuality, Comparability, Similar statistics are produced among EU members and are available from the Eurostat's website. The statistics comply with EU standards., Harvest figures are in principle comparable back to 1900 but with methodological changes along the way. The current calculation method has in principle been used since 1971. The statistics for the new regions of the country are made from 2006. Thus there for 2006 is both a statement of the then counties, and the current regions., Read more about comparability, Accessibility and clarity, The statistics are published in the StatBank under , Crop production, and in a Danish press release., Read more about accessibility and clarity

    https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/harvest-of-cereals-etc-

    Documentation of statistics

    Documentation of statistics: Ownership of agricultural land in Denmark

    Contact info, Food Industries, Business Statistics , Karsten Larsen , +45 21 29 55 76 , kkl@dst.dk , Get documentation of statistics as pdf, Ownership of agricultural land in Denmark 2024 , Previous versions, Ownership of agricultural land in Denmark 2020, The purpose of the statistics Ownership of agricultural land is to show how the Danish agricultural land is distributed by nationality of the owners. , Statistical presentation, The statistics show on an annual basis the number of owners and how the ownership of Danish agricultural land is distributed by the nationalities of the owners, regions, type of owner, gender, age and size., Read more about statistical presentation, Statistical processing, The IACS register (Integrated Agricultural Control System) The General Land Register is merged with the Owner Register. For personal identification numbers, citizenship is found via the Personal Register. For business ownership, the CVR is used for real and legal owners. If there are only legal owners, data from Eurostat's group register is supplemented, whereby the owner's nationality can be determined. For foreign owners, the country of residence is used as the country code. The owners can be both private individuals and companies., Read more about statistical processing, Relevance, The statistics meet a need, particularly from the Ministry of Food and Agriculture, to know the extent of Danish agricultural land in foreign ownership. The statistics are also expected to be of interest to political parties, the industry and the public in general., Read more about relevance, Accuracy and reliability, The statistics cover all agricultural land in Denmark for which crop subsidies have been applied for. Very little agricultural land is cultivated in Denmark for which area support is not applied for. The source data for the statistics are obtained from the General Agricultural Register (GLR), which is also used as a source in the Agricultural and Horticultural Census, and covers virtually all agricultural land in Denmark, and is considered a reliable source. The cadastral register overlaid on the applied plots of land is considered to be of high quality. However, the comparison of field maps and the cadastre gives rise to some choices of cadastres/plots for the statistics. For ownership by persons, citizenship is considered to be of very high quality. Information on ownership from the CVR when it is persons or real owners is considered to be of good quality. Supplement with data from Eurostat's group register are made., Read more about accuracy and reliability, Timeliness and punctuality, The statistics will be published 4-5 months from the reference time December 31. , Read more about timeliness and punctuality, Comparability, The statistics are comparable with the farm structure survey, but the figures for the agricultural area are not exactly identical in the two statistics. This is due to fact that the statistics include all land cultivated by farmers applying for crop subsidies whereas the farm structure survey as main rule only include farm of at least 5,0 hectares. The units in the two statistics are not the same. The statistics on ownership of agricultural land includes the landowners which could be farmers men not necessarily are., Read more about comparability, Accessibility and clarity, These statistics are published in Statbank Denmark and the News letter "Nyt fra Danmarks Statistik" (in Danish only),, Read more about accessibility and clarity

    https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/ownership-of-agricultural-land-in-denmark

    Documentation of statistics

    Documentation of statistics: Production of Compound Feed

    Contact info, Food Industries , Simone Thun , +45 51 36 92 51 , SIT@dst.dk , Get documentation of statistics as pdf, Production of Compound Feed 2023 , Previous versions, Production of Compound Feed 2022, Production of Compound Feed 2021, Production of Compound Feed 2018, Production of Compound Feed 2017, Production of Compound Feed 2016, Production of Compound Feed 2014, The purpose of the statistics is to shed light on the quantitative production of compound feed for livestock, as well as to calculate the total quantities of grain and feed materials used in compound feed. Feed materials are eg. oats or soybeans. The statistics shows which type of feed mixes are produced the most, and the development of feed mixes over time. The total quantities of compound feed and feed materials are used for calculations of The Economic Accounts for Agriculture (EAA). The statistics has been compiled since 1968, but in its current form is comparable from 1990 onwards., Statistical presentation, The statistics is an annual statement of compound feed production and feed materials used in compound feed calculated in millions. kg. Feed production is calculated for the calendar year and for various feed mixes for cattle, pigs, poultry and other livestock species. , Read more about statistical presentation, Statistical processing, Data is first checked by comparing individual reports with reports from previous periods. When the data collection is finished, the data is checked for errors on a macro level, for example by comparing with the development in the cattle and pig populations. In 2022, the data collection and data processing for The content composition of compound feed (FBL) was restructured so that the collection became identical to Production of compound feed (PAF). The rearrangement of FBL leads to a data breach in FODER2 from 2022, as there is no longer direct comparability. , Read more about statistical processing, Relevance, It is relevant for the agricultural organizations, ministries and agencies, who uses it to follow the development in the volume growth in the production of compound feed. Moreover, it is an input to the Economic Accounts for Agriculture. , Read more about relevance, Accuracy and reliability, The overall reliability is good. The statistics covers the production of compound feed by the Danish agribusiness companies alone. Directly imported compound feed and feed made by farmers are not included in the statistics. In 2022, the data processing for FBL was restructured, so that the collection became identical to Production of compound feed. The change entails a data breach in FODER2 from 2022. The old enumeration method has led to a certain overestimation of the use of some of the feed materials in compound feed., Read more about accuracy and reliability, Timeliness and punctuality, From 2023, the statistics will only be published once a year in the month of May in connection with the publication of the national Economic Accounts for Agriculture (EAA), almost 6 months after the reference time., Read more about timeliness and punctuality, Comparability, There is full comparability in data back to 1990 in the table FODER3. The overall main groups are comparable back to the start of the statistics in the operating year 1968/69. As regards to The content composition of the compound feed (FBL), which is published in FODER2, there is full comparability from 1992 to 2021. In 2022, the data collection and data processing for FBL was realigned. The change entails a data breach in FODER2 from 2022, as there is no longer complete comparability in the use of the feed materials and hence the quantities of single feed substances., Read more about comparability, Accessibility and clarity, These statistics is published in the StatBank under , Foder, gødning og pesticider, ., Read more about accessibility and clarity

    https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/production-of-compound-feed

    Documentation of statistics