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Documentation of statistics: Landings of fish

Contact info, Food Industries , Jeppe Strandgaard Herring , +45 24 44 43 06 , JHR@dst.dk , Get documentation of statistics as pdf, Landings of fish 2017 , Previous versions, Landings of fish 2016, Danish Vessels by Regions, Harbour, Unit and Type of Fish 2014, The purpose of the statistic is to reveal the turnover of fish catches for the Danish fishing vessels and total catches landed in Denmark., Statistical presentation, Landings statistics include all Danish fishing vessels landings. Statistics on landings of fish are prepared by The Danish Fisheries Agency based on reports for trade in fish, crustaceans and molluscs at vessel level, enriched with data from vessels' logs. For reports from Danish vessels, who sell their catch in other EU Member States, reports are received electronically from the Member State. More than 95 pct. of the total value of the landing is received in the form of on-line reports today., Read more about statistical presentation, Statistical processing, The database for landing statistics is Danish Fisheries Agency's settlement register., Read more about statistical processing, Relevance, Landing data is used to manage fishing and quota reporting of Danish fishing etc., Read more about relevance, Accuracy and reliability, Overall precision and reliability is high, as reporting to the register is mandatory., Read more about accuracy and reliability, Timeliness and punctuality, The statistics are published annually., Read more about timeliness and punctuality, Comparability, On the calculated level of aggregation, there is no significant data breach., Read more about comparability, Accessibility and clarity, Subject pages, Statbank and NYT , Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/landings-of-fish

Documentation of statistics

Documentation of statistics: Turnover in construction

Contact info, Short Term Statistics, Business Statistics , Kasper Emil Dueholm Freiman , +45 23 45 47 32 , KFR@dst.dk , Get documentation of statistics as pdf, Turnover in construction 2022 , Previous versions, Turnover in construction 2019, Turnover in construction 2018, Turnover in construction 2017, The purpose of the statistic is to show the turnover in construction and its distribution. The statistic is established due to recommendations from the Productivity Commission and is used for calculations of productivity in the National Accounts. The statistic is comparable from 2015 and onwards., Statistical presentation, The statistic provides quarterly and annual information on turnover construction in DKK million. Turnover is divided by work categories, including new buildings, repair and maintenance of buildings, civil engineering and other construction., Read more about statistical presentation, Statistical processing, The reported data is scaled to the total population of professional units with main activity in construction. No numbers are imputed. , Read more about statistical processing, Relevance, The statistics are used for calculations of productivity in the national accounts. In addition, the statistics are used by organizations and businesses in the industry as well as news media., Read more about relevance, Accuracy and reliability, There are no quantitative measures of the total uncertainty. The sample uncertainty for the total turnover is estimated to be approximately 1.5 pct. The uncertainty that results from non-response, wrong reported numbers and misunderstandings has little effect on the numbers. , Read more about accuracy and reliability, Timeliness and punctuality, The statistic is published four times a year, media January, April, July and October. Time from the end of the reference period to publication is about 15 weeks. The statistic is normally published at the announced time., Read more about timeliness and punctuality, Comparability, There are no statistics of turnover in construction divided on work categories before 2015. The trends in turnover within construction can be compared to figures from Purchases and sales. Turnover in the construction industry supplement the other short-term statistics relating to this area., Read more about comparability, Accessibility and clarity, The figures are published in Statbank Denmark under , Turnover in construction, ., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/turnover-in-construction

Documentation of statistics

Labour market accounts

The purpose of the labour market accounts is to compile an annual statement of the population’s attachment to the labour market calculated in full-time persons. , Introduction, The labour market accounts consist of two longitudinal registers., The first one is not time-standardized. This means that a person can have activities (eg. two jobs) which together make up more than 37 hours per week. This register is the data base for the register-based labour force statistics (RAS), the quarterly labour force statistics (KAS), establishment-related employment statistics and the NEET-indicator (young people without employment and education). This register enables, for example, that the population’s attachment to the labour market to be calculated at any time during the year., The second register is hourly standardized in relation to a standard working week of 37 hours. The second longitudinal register is the data source for the two tables AMR1 and AMR2 in the statbank. When the annual attachment to the labour market for the entire population is calculated on this register, it is equal to the average population in the year., Documentation, Documentation of statistics, Get an overview of the purpose, content and quality of the statistics. Here you can find information on the sources that the statistics are derived from, what the statistics contains and how often it is published., Labour Market Account, Key figures, Related content in Labour market accounts, Tables in Statbank , Scheduled releases , Contact, Pernille Stender, Phone: +45 24 92 12 33, Mail: , psd@dst.dk

https://www.dst.dk/en/Statistik/emner/arbejde-og-indkomst/befolkningens-arbejdsmarkedsstatus/arbejdsmarkedsregnskab

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Request a quotation

In order to send you a quotation on an update we need you to fill out and send us the following form. You will then get an e-mail confirming that we have received your request. If you do not receive a confirmation e-mail please contact us at , consulting@dst.dk, ., Please be aware that our hourly rate for services is DKK 1,476,- exclusive of VAT (1,845,- including VAT) and that the price for an assignment is calculated on the basis of the time we spend on an assignment. The time spent varies significantly depending on the complexity of the assignment, the number of variables etc. We rarely spend less than 5 hours on an assignment and some tasks take more than a 100 hours. You can read more about our , prices and pricing policy here., At the moment we are experiencing high demand for our services, which is why it may take up to 10 weeks before we contact you regarding your inquiry., If you have any budgetary constraints please indicate that in the form and we might be able to inform you faster whether it is possible to deliver the assignment within your financial capacity., When handling your request, at Statistics Denmark we collect, use and store your personal data. You can read more about the usage and storage at our , Privacy policy for personal data at DST Consulting, ., NB! Be aware that it may take between 5-10 seconds before the form is loaded. If the form does not load please try a different browser.

https://www.dst.dk/en/TilSalg/skraeddersyede-loesninger/bestil-en-opgave/rekvirer-tilbud-paa-opgave

Data Processing Services

WHY THE NEED FOR A DATA PROCESSOR AGREEMENT?, According to the General Data Protection Regulation (GDPR), data processing made on behalf of others must be regulated by a contract or other legally binding document. As Statistics Denmark performs services that involve processing of our customers’ data, e.g. personal data, we must draw up a so-called data processor agreement by which the customer is the data controller and Statistics Denmark is the data processor., THE DANISH DATA PROTECTION AGENCY’S STANDARD AGREEMENT, Statistics Denmark uses the Data Protection Agency’s standard template and we use the same agreement for all services where we act as a data processor for our customers. , In addition to the data processor agreement, we also draw up a contract for the individual services., Statement of assurance, For resource and security reasons, Statistics Denmark has decided not to be open for inspections by the data controllers. Instead, Statistics Denmark has commissioned an audit report by an external auditing firm to ensure that Statistics Denmark, as a data processor, complies with the General Data Protection Regulation in its capacity of data processor. Upon request, customers with whom we enter a data processor agreement will receive a copy of the audit report., Template of the Danish Data Protection Agency

https://www.dst.dk/en/TilSalg/skraeddersyede-loesninger/priser-og-aftalevilkaar/databehandling

Component 3: Missing or erroneous data

3.0: Project preparation, Activity 3.0 - Mission report - Assessment and planning - Missing or erroneous data (ENG), Activity 3.0 - Mission report - Assessment and planning - Missing or erroneous data (AR), Activity 3.0 - Economic statistics - DoS (ENG), Activity 3.0 - Economic statistics - DoS (AR), 3.1: Review methodology, Activity 3.1.1 - Mission report - Review methodology for Business statistics (ENG), Activity 3.1.1 - Mission report - Review methodology for Business statistics (AR), Mission 3.1.2 - Mission report - Review methodology for Household statistics (ENG), Mission 3.1.2 - Mission report - Review methodology for Household statistics (AR), Mission 3.1.2 - An Overview of The Household Expenditure and Income Survey (HEIS) (ENG), Mission 3.1.2 - An Overview of The Household Expenditure and Income Survey (HEIS) (AR), Mission 3.1.2 - Estimation Techniques for the German household surveys (ENG), Mission 3.1.2 - Estimation Techniques for the German household surveys (AR), Mission 3.1.2 - General features of household surveys at Statistics Finland (ENG), Mission 3.1.2 - General features of household surveys at Statistics Finland (AR), Mission 3.1.2 - Introduction to Quality and Performance Indicators (ENG), 3.2: Sampling frame of economic surveys, Activity 3.2.1 - Mission report - Assessment of current situation and adjusting RWP (AR), Activity 3.2.1 - Mission report - Assessment of current situation and adjusting RWP (ENG), Activity 3.2.2 - Mission report - Frame evaluation (AR), Activity 3.2.2 - Mission report - Frame evaluation (ENG), 3.3: Quality framework, 3.4: Harmonize economic questionnaires with SNA

https://www.dst.dk/en/consulting/projects/jordan-2022-2024/component-3-missing-or-erroneous-data

Component 2: Small Area Statistics

2.0: Project preparation, Activity 2.0 - Mission report - Assessment and planning SAE (ENG), Activity 2.0 - Mission report - Assessment and planning SAE (AR), Activity 2.0 - SAE in HEIS - DoS (ENG), Activity 2.0 - SAE in HEIS - DoS (AR), Activity 2.0 - SAE Steps - ISTAT (ENG), Activity 2.0 - SAE Steps - ISTAT (AR), Activity 2.0 - SAE Vision for Jordan - SL (ENG), Activity 2.0 - SAE Vision for Jordan - SL (AR), 2.1: Pilot SAS, Activity 2.1.1 - Mission Report SAE - Smooting and manipulation (ENG), Activity 2.1.1 - Mission Report SAE - Smooting and manipulation (AR), Activity 2.1.1 - Introduction to direct, synthetic and composite estimation - ISTAT (ENG), Activity 2.1.1 - Introduction to direct, synthetic and composite estimation - SL (ENG), Activity 2.1.1 - Intro to R, Activity 2.1.2 - Mission Report - Theory and best practice of Small area estimations (ENG), Activity 2.1.2 - Mission Report - Theory and best practice of Small area estimations (AR), Activity 2.1.2 - Introduction to SAE (ENG), Activity 2.1.2 - Introduction to SAE (AR), Activity 2.1.2 - Introduction to SAE in R (ENG), Activity 2.1.2 - Introduction to SAE in R (AR), Activity 2.1.4 - Mission Report - Practical implementation of small area estimation theory on Jordanian data (AR), Activity 2.1.4 - Mission Report - Practical implementation of small area estimation theory on Jordanian data (ENG), Activity 2.1.4 - Mission Report - Practical implementation of small area estimation theory on Jordanian data (ENG), 2.2: SAS on other areas, 2.3: Training, 2.4: Tools for dissemination, Activity 2.4.1 - Mission Report - Exploring the possibilities for updating PxWeb (ENG), Activity 2.4.1 - Mission Report - Exploring the possibilities for updating PxWeb (ENG), Activity 2.4.2 - Mission report - Exploring the possibilities for updating functionalities of WordPress (AR), Activity 2.4.2 - Mission report - Exploring the possibilities for updating functionalities of WordPress (ENG)

https://www.dst.dk/en/consulting/projects/jordan-2022-2024/component-2-small-area-statistics

Communication and Sales: Director Carsten Ulrik Zangenberg

Photograph by Ulrik Jantzen, Carsten Ulrik Zangenberg, Director of Communication and Sales, Mobile: + 45 28 35 30 51, cuz@dst.dk, Born, 10 September 1964, Education, Master of Science in Administration from Roskilde University, 1993, Completed natural and social sciences basic studies, 1989, Employment, 2015 -, Director, Communication and Sales, Statistics Denmark, 2011 - 2015, Head of Communication, Statistics Denmark, 2010 - 2011, Head of Statistics Denmark’s Customer Centre with coordinating responsibility for development of user charges, Statistics Denmark, 2008 - 2009, Acting Director for Sales and Marketing and Head of Customer Centre, Statistics Denmark, 1999 - 2007         , Head of Division, Labour Market and Earnings Statistics, Statistics Denmark, 1999 -, Senior Advisor, responsible for development of general statistics, Statistics Denmark, 1997 - 1998, Head of Section, Population and Education Statistics, Statistics Denmark, 1995 - 1997, Research project job on educational and business careers, Carlsberg Foundation, 1993 - 1995, Head of Section, General Business Statistics, Statistics Denmark, 1989 - 1993, IT employee, Danish Ministry of Education, Assignments, 2015 - , Directors of Methodology and IT Directors Group, 2015 -  , Steering Group for Directors of Methodology and IT Directors Group

https://www.dst.dk/en/OmDS/organisation/direktionen/CUZ

Quality policy

Statistics Denmark is a professionally and politically independent institution developing, producing and publishing statistics on society. Statistics Denmark produces impartial and objective statistics in accordance with recognised methods and statistical procedures. Furthermore, Statistics Denmark ensures statistical confidentiality. Our goal is for the statistics to be accurate and reliable, coherent and comparable., Statistics Denmark defines the statistics on the basis of users’ needs, publish them timely and punctually and aim to present them in a clear and understandable way. To this end, Statistics Denmark’s professional independence is specified by law, cf. Act on Statistics Denmark, and it is ensured that the staff has adequate education, training and experience to accommodate the current statistical requirements., Statistics Denmark produces and disseminates official statistics and ensures coherence within and between the statistics, including comparability over time and geographical areas. To the widest extent possible, existing administrative sources are used to minimise the reporting burden on enterprises and citizens., Statistics Denmark emphasises good service, efficiency and cost-effectiveness to fulfil the increasing national and international requests. Statistics Denmark participates in the international cooperation and meets the requirements to the European statistical system., Statistics Denmark is working according to well-defined methods and plans. Quality indicators and other important factors concerning processes and products are well-defined, and outputs are monitored in accordance with these. If the quality indicators are not satisfactory, changes and improvements of processes and procedures will be implemented., Statistics Denmark’s quality system is based on the 16 principles in the European statistics Code of Practice, as published by Eurostat:, Professional independence, 1bis Coordination and cooperation, Mandate for data collection and access to data, Adequacy of resources, Commitment to quality, Statistical confidentiality and data protection, Impartiality and objectivity, Sound Methodology, Appropriate statistical procedures, Non-excessive burden on respondents, Cost-effectiveness, Relevance, Accuracy and reliability, Timeliness and punctuality, Coherence and comparability, Accessibility and clarity

https://www.dst.dk/en/OmDS/strategi-og-kvalitet/kvalitet-for-statistikproduktion/kvalitetspolitik

Fishery

Structure and production statistics describes vessels and landings in the Danish fishing fleet. The fleet is populated by all registered Danish fishing vessels. Data on landings describes landings from Danish vessels nationally and internationally. Furthermore landings in Danish ports from vessels of all nationality are also described. Account statistics for fishery describes the economy of the Danish fleet, deriving from the accounts of the vessels. , Introduction, The fleet statistics describes the fleet by number of vessels, tonnage, engine power, type of vessel, vessel length and national region., Landings are described by main species, harbour of landing, regional sea of catch, landed weight, live weight and value of landing., Account statistics for fishery describes the economy by vessel length and year. The costs describes among other thing fuels consumption, landing costs and wages., Documentation, Documentation of statistics, Get an overview of the purpose, content and quality of the statistics. Here you can find information on the sources that the statistics are derived from, what the statistics contains and how often it is published., Account Statistics for Fishery, Danish Vessels, Landings of fish, Key figures, In Statbank Denmark, you can find more data on Danish vessels (FISK1), In Statbank Denmark, you can find more data on Landings in Denmark (FISK3), In Statbank Denmark, you can find more data on Landings in Denmark (FISK3), In Statbank Denmark, you can find more data on Accounts statistics for fishery (average per unit) (FIREGN2), Related content in Fishery , Tables in Statbank , Scheduled releases , Contact, Charlotte Spliid Hansen, Phone: +45 29 41 97 76, Mail: , chh@dst.dk

https://www.dst.dk/en/Statistik/emner/erhvervsliv/fiskeri-og-akvakultur/fiskeri

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