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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

Documentation of statistics: Business tendency surveys

Contact info, Short Term Statistics, Business Statistics , Simon Bolding Halifax , +45 51 29 21 91 , SBH@dst.dk , Get documentation of statistics as pdf, Business tendency surveys 2024 , Previous versions, The monthly tendency survey provides a quick and up-to-date overview of actual conditions and expectations within the manufacturing industries, construction, retail trade and services. The surveys are directly connected to and defined by the Business and Consumer Survey joint harmonized program as managed by the Directorate-Generale for Economic and Financial Affairs (DG ECFIN), European Commission. , Statistical presentation, The business tendency surveys are a qualitative assessment on past three month's developments and next three month's expected developments . The survey assesses developments within production, employment, stock of orders, stock of finished products, capacity utilization, investment plans, limits to production, and others., Read more about statistical presentation, Statistical processing, Monthly business survey data is collected from a sample of approximately 800 manufacturing enterprises, 900 enterprises in construction, 1400 enterprises in retail and 2900 enterprises in services. Data is reported either online at http://www.VIRK.dk or in paper questionnaire, and consists of qualitative assessment of changes in net sales, employment, inventories, orders, etc.. The collected data are enumerated from the sample to the total enumeration population (similar to Frame or Survey Population) weighted by employment data, and distributed at industry and enterprise size groupings. If seasonal variation patterns are detected for the indicators that constitute the composite confidence indicator, data is adjusted for this., Read more about statistical processing, Relevance, Users of the statistics are trade organizations, banks, politicians, public authorities, international organizations, business enterprises and the news media. The results are reflected upon every month in financial and business related news medias. , Read more about relevance, Accuracy and reliability, Sampling error is estimated to plus/minus 1-2 percentage points for the confidence indicators. Non-sampling error occurs in connection to non-responses and drop out of the sample. Especially big companies' non-responses a certain month may influence the development from month to month. Finally, there is measurement error connected to the statistics associated with the respondents level of information and knowledge about the company's current state. , Read more about accuracy and reliability, Timeliness and punctuality, The statistics is usually published between the 20th and 25th of the survey month. The process runs punctual. In April and October the semiannual figures for investment plans are published. , Read more about timeliness and punctuality, Comparability, The statistics is carried out in collaboration with the EU-commission since October 1963. Historical data for Denmark and other European countries is available at the homepage of , (DG ECFIN), . , Read more about comparability, Accessibility and clarity, Results of the surveys are published monthly at , Statistics Denmark, ; Key indicators are published in the newsletter edition , Nyt fra Danmarks Statistik, Konjunkturbarometer for erhvervene, and in English at the homepage , Short term trends, . Detailed data is available in English version at , Statbank, . Read , here, about the statistics. , Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/business-tendency-surveys

Documentation of statistics

Documentation of statistics: Children and young persons placed outside own home

Contact info, Personal Finances and Welfare, Social Statistics , Rasmus Waagø Jacobsen , +45 61 50 93 37 , RWJ@dst.dk , Get documentation of statistics as pdf, Children and young persons placed outside own home 2025 , Previous versions, Children and young persons placed outside own home 2024, Children and young persons placed outside own home 2023, Children and young persons placed outside own home 2022, Children and young adults in out-of-home care 2021, Children and young persons placed outside own home 2020, Children and young persons placed outside own home 2019, Children and young persons placed outside own home 2018, The statistics shed light on the activities of municipal authorities regarding placements outside the home., The statistics are used to account for the scope of placements of children and young people outside their own homes. The statistics are comparable from 2011 onwards., Statistical presentation, Starting from the autumn 2025 release, the statistics will be published twice a year — as of 30 June and 31 December. The publication as of 30 June will include data on municipal placements and residential care, presented by the number of placed children and young people. The annual publication as of 31 December will include data on municipal placements and residential care, presented by both the number of placed children and young people and the number of initiated placements and residential care arrangements. The statistics are broken down by region/municipality, type of measure, type of placement, reason for placement, age, and sex., The statistics are published in the StatBank and in NYT from Statistics Denmark., Read more about statistical presentation, Statistical processing, Data for these statistics are continually collected from the administrative municipalities. The collected data is then subjected to a meticulous validation process in cooperation with the municipalities. All of the municipalities receive feedback sheets, representing the scope and nature of the reported data, which need to be approved by the municipalities. Data is subsequently gathered in an incident register which forms the basis for a creation of a progress register and a status/stock register., Read more about statistical processing, Relevance, The statistics are used by municipalities, provinces, ministries, the media, researchers, private individuals and organizations. The statistics are used for public planning and administration, research, public debate and education., Read more about relevance, Accuracy and reliability, Data is reported from the municipalities' administrative systems, which are used for case processing. There may be errors or omissions in the reports, or reports may be missing altogether. The municipalities approve an annual status prior to publication of the statistics. In this context, municipalities are requested to correct any errors and deficiencies., Changes in placements are generally underestimated because the changes are only indirectly approved by the municipalities based on the reported placement status., Read more about accuracy and reliability, Timeliness and punctuality, These statistics are published 6 months after the end of the reference period. The statistics are published without delay according to the scheduled release date. , Read more about timeliness and punctuality, Comparability, The statistics are comparable from 2011 and onwards., Read more about comparability, Accessibility and clarity, These statistics are published in a Danish press release, , Nyt fra Danmarks Statistik, . The figures are also published in Statbank Denmark in , Disadvantaged children and young people, Further information can be found at the webpage of the statistics , Udsatte børn og unge, or by contacting Statistics Denmark directly., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/children-and-young-persons-placed-outside-own-home

Documentation of statistics

Documentation of statistics: Housing benefits

Contact info, Labour Market, Social Statistics , Morten Steenbjerg Kristensen , +45 20 40 38 73 , MRT@dst.dk , Get documentation of statistics as pdf, Housing benefits 2024 , Previous versions, Housing benefits 2023, Housing benefits 2022, Housing benefits 2021, Housing benefits 2020, Housing benefits 2019, Housing benefits 2018, Housing benefits 2017, Housing benefits 2016, Housing benefits 2015, Housing benefits 2014, Housing benefits 2013, Documents associated with the documentation, Social tryghed i de nordiske lande (pdf) (in Danish only), Housing benefit is a tax free subsidy granted to households with high housing expenses relative to the household income. The purpose of the statistics on housing benefit is to elucidate the number of beneficiaries of housing benefit and the amount received in benefit. The housing benefit statistics date back to 1967, but is in the current format comparable back to 2007., Statistical presentation, The statistics on housing benefits cover statistics on the number of all beneficiaries (i.e. households), and amounts granted on a monthly basis. Rent subsidies (for non-pensioners, as well as to early retirees, who have been assigned pension after January 1st 2003) and housing allowances (for retirees) depending on a number of variables (type of benefit, rent income and number of children)., Read more about statistical presentation, Statistical processing, Data for these statistics are collected monthly from Udbetaling Danmark via a system-to-system connection. Data are treated annually. Invalid data are excluded. Afterwards, the data is aggregated by the type of housing benefit, municipality and age., Read more about statistical processing, Relevance, These statistics are relevant for various Ministries, municipalities, researchers, and KL- Local Government Denmark and researchers. The statistics are used internally in Statistics Denmark, Municipal budgets and to assess the law on individual housing benefits., Read more about relevance, Accuracy and reliability, The statistics are based on administrative registers of housing benefits, but errors and duplicates may occur in the register. Invalid data and duplicates are removed (less than 0.01 pct.). The housing benefit amounts are overestimated compared to reality, since months with less than a full month's housing eligibility are included as a full month in the statistics. Only final figures are published., Read more about accuracy and reliability, Timeliness and punctuality, These statistics are published three months after the end of the reference period. Publications are released on time, as stated in the release calendar. , Read more about timeliness and punctuality, Comparability, Statistics on housing benefits in Denmark date back to 1967. The statistics are comparable since 1983 in its current format. The statistics are produced according to common European guidelines and are therefore comparable to statistics from other countries published in Eurostat., 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 , Housing benefits, ., Read more about accessibility and clarity

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

Documentation of statistics

Documentation of statistics: Housing Benefits (monthly

Contact info, Labour Market, Social Statistics , Morten Steenbjerg Kristensen , +45 20 40 38 73 , MRT@dst.dk , Get documentation of statistics as pdf, Housing Benefits (monthly 2024 Month 01 , Previous versions, Housing Benefits (monthly 2023 Month 03, Housing Benefits 2022 Month 02, Housing Benefits 2022 Month 01, Housing Benefits 2021 Month 12, Housing Benefits 2020 Month 12, Housing Benefits 2019 Month 12, Housing Benefits 2018, Housing Benefits 2017 Month 12, Housing Benefits 2016 Month 12, Housing Benefits 2015 Month 12, Housing Benefits 2014 Month 12, Housing Benefits 2013 Month 12, Housing benefit is a tax free subsidy granted to households with high housing expenses relative to the household income. The purpose of the statistics on housing benefit is to elucidate the number of beneficiaries of housing benefit and the amount received in benefit. The housing benefit statistics date back to 1967, but is in the current format comparable back to 2007., Statistical presentation, The statistics on housing benefits cover statistics on the number of all beneficiaries (i.e. households), and amounts granted on a monthly basis. Rent subsidies (for non-pensioners, as well as to early retirees, who have been assigned pension after January 1st 2003) and housing allowances (for retirees) depending on a number of variables (type of benefit, rent income and number of children)., Read more about statistical presentation, Statistical processing, Data for these statistics are collected monthly from Udbetaling Danmark via a system-to-system connection. Data are treated annually. Invalid data are excluded. Afterwards, the data is aggregated by the type of housing benefit, municipality and age., Read more about statistical processing, Relevance, These statistics are relevant for various Ministries, municipalities, researchers, and KL- Local Government Denmark and researchers. The statistics are used internally in Statistics Denmark, Municipal budgets and to assess the law on individual housing benefits., Read more about relevance, Accuracy and reliability, The statistics are based on administrative registers of housing benefits, but errors and duplicates may occur in the register. Invalid data and duplicates are removed (less than 0.01 pct.). The housing benefit amounts are overestimated compared to reality, since months with less than a full month's housing eligibility are included as a full month in the statistics. Only final figures are published., Read more about accuracy and reliability, Timeliness and punctuality, The statistics on housing benefits 2025 is published in March 2026., Read more about timeliness and punctuality, Comparability, Statistics on housing benefits in Denmark date back to 1967. The statistics are comparable since 1983 in its current format. The statistics are produced according to common European guidelines and are therefore comparable to statistics from other countries published in Eurostat., Read more about comparability, Accessibility and clarity, These statistics are published yearly in , Nyt fra Danmarks Statistik, . Simultaneously, the statistics are published online at http://www.Statbank.dk under the subject , Adults receiving social benefits, ., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/housing-benefits--monthly

Documentation of statistics