Search result

Classification of Occupations DISCO-løn 1996, v3:1996

Please note, a more current version of this classification is now available. See the current version , here., Name: , DISCO_LOEN_V3_1996 , Description: , Parallel with DISCO-88, Statistics Denmark have, in collaboration with the Danish Employers' Association, prepared , DISCO-løn, for use in wage structure statistics. In line with ILO recommendations, DISCO-løn has a more detailed structure than ISCO-88 / DISCO-88. Thus, DISCO-løn consists of both a six-digit code for job description and a one-digit code for job status. The first four digits are identical to the code structure of DISCO-88., Valid from: , January 1, 1996 , Valid to: , December 31, 2003 , Office: , Personal Finances and Welfare , Contact: , Annette Gewecke Nancke, , agp@dst.dk, , ph. +45 30 60 41 75 , Codes and categories, Codes and categories are only available in Danish , All versions, Name, Valid from, Valid to, DISCO-08 in wage statistics, v2:2012, January 1, 2012, Still valid, DISCO-08 in wage statistics, v1:2010, January 1, 2010, December 31, 2011, Classification of Occupations DISCOLØN 2004, v4:2004, January 1, 2004, December 31, 2009, Classification of Occupations DISCO-løn 1996, v3:1996, January 1, 1996, December 31, 2003, Classification of Occupations DISCO-løn 1994, v2:1994, January 1, 1994, December 31, 1995

https://www.dst.dk/en/Statistik/dokumentation/nomenklaturer/disco-loen?id=df08bcfc-829a-422e-bb5b-a461f84e33b3

DISCO-08 in wage statistics, v1:2010

Please note, a more current version of this classification is now available. See the current version , here., Name: , DISCO_LOEN_V1_2010 , Description: , DISCO-08 is the official Danish version of , International Standard Classification of Occupations (ISCO-08), . ISCO is prepared by the International Labor Organization (ILO). From 2010, DISCO-08 replaces DISCO-88 which was the official Danish version of ISCO-88., DISCO-08 in wage statistics is a special edition of DISCO-08. The wage statistics must include a 6-digit code describing the employee's work function., Valid from: , January 1, 2010 , Valid to: , December 31, 2011 , Office: , Personal Finances and Welfare , Contact: , Annette Gewecke Nancke, , agp@dst.dk, , ph. +45 30 60 41 75 , Codes and categories, Codes and categories are only available in Danish , All versions, Name, Valid from, Valid to, DISCO-08 in wage statistics, v2:2012, January 1, 2012, Still valid, DISCO-08 in wage statistics, v1:2010, January 1, 2010, December 31, 2011, Classification of Occupations DISCOLØN 2004, v4:2004, January 1, 2004, December 31, 2009, Classification of Occupations DISCO-løn 1996, v3:1996, January 1, 1996, December 31, 2003, Classification of Occupations DISCO-løn 1994, v2:1994, January 1, 1994, December 31, 1995

https://www.dst.dk/en/Statistik/dokumentation/nomenklaturer/disco-loen?id=168035e0-5cb3-4861-a185-a72763e3048d

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

Classification by sector in the European system of accounts (ESA2010), v1:2014

Name: , ESA2010_V1_2014 , Description: , ESA2010 sectors is a statistical classification. The sector code is used to group institutional units with the same primary activity and function. E.g. the primary activity and function describe if a unit produces market or non-market services. An institutional unit is characterized by decision-making autonomy in the exercise of its principal function. Institutional units are also called economical entities., The sector code divides the economy into six overall sectors:, The non-financial corporations sector, The financial corporations sector, General government, Household sector, Non-profit institutions serving households, Rest of the world, The sector division is based on the European sector classification, which is defined in the manual European System of Accounts (ESA 2010). This classification is consistent with the international sector classification defined in the System of National Accounts 2008 (SNA 2008). See also , ESR sectors, , which is Statistics Denmark’s own classification in the statistical business register., Valid from: , September 1, 2014 , Office: , Government Finances , Contact: , Helene Gjermansen, , hgj@dst.dk, , ph. +45 24 76 70 09 , Codes and categories, Codes and categories are only available in Danish , All versions, Name, Valid from, Valid to, Classification by sector in the European system of accounts (ESA2010), v1:2014, September 1, 2014, Still valid, Classification by sector in the Statistical Business Register (SBR), v1:2013, January 1, 2013

https://www.dst.dk/en/Statistik/dokumentation/nomenklaturer/esa2010?id=6c0826d4-1f0a-4f09-b239-5d6e8b3bf953

Dansk Branchekode DB07, v1:2008

Please note, a more current version of this classification is now available. , Name: , DB07_V1_2008 , Description: , Dansk Branchekode DB07 is the National version of EU's nomenklatur (NACE). The first four digits refer to NACE rev. 2, while the last two represent the Danish subdivision. Dansk Branchekode DB07 is a statistical classification of economic activities., Dansk Branchekode DB07 is very similar to NACE rev. 2. The only difference is the subdivision of some classes, e.g. 64.20.10 indicates that NACE Rev. 2 class 64.20 has been subdivided whereas 38.31.00 indicates that class 38.31 has not been subdivided. , Valid from: , January 1, 2008 , Valid to: , December 31, 2012 , Office: , Business Data Collection and Registers , Contact: , Birgit Nielsen, , bgn@dst.dk, , ph. +45 20 51 69 67 , Codes and categories, Codes and categories are only available in Danish , All versions, Name, Valid from, Valid to, Dansk Branchekode DB07, v3:2014-, January 1, 2014, December 31, 2024, Dansk Branchekode DB07, v2:2013, January 1, 2013, December 31, 2013, Dansk Branchekode DB07, v1:2008, January 1, 2008, December 31, 2012, Dansk Branchekode DB03, v1:2003, January 1, 2003, December 31, 2007, Dansk Branchekode DB93, v2:1996, January 1, 1996, December 31, 2002, Dansk Branchekode DB93, v1:1993, January 1, 1993, December 31, 1995, Danmarks Statistiks Erhvervsgrupperingskode 1977 (DSE77), v5:1989, January 1, 1989, December 31, 1992

https://www.dst.dk/en/Statistik/dokumentation/nomenklaturer/db07?id=28e4a8f7-1495-4563-9f8d-1de8587305de

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

Documentation of statistics: Overdue Tax (Discontinued)

Contact info, Government Finances , Get documentation of statistics as pdf, Overdue Tax 2012 , Previous versions, The purpose of Overdue tax is to analyze long-term and short-term trends in the yearly overdue tax. The present statistics were compiled for the first time in 1995., Statistical presentation, The statistics provide a yearly overview of the various and total overdue taxes., Both the total and the individual overdue taxes are of social interest as they influence the government cash flow., Read more about statistical presentation, Statistical processing, No statistical processing is done., Read more about statistical processing, Relevance, The statistics provide a yearly overview of the various and total overdue taxes owed by the households and businesses., Read more about relevance, Accuracy and reliability, There are no sources of statistical uncertainty of importance., The statistical uncertainty is not calculated., Read more about accuracy and reliability, Timeliness and punctuality, The statistics are usually published on the scheduled date without delays., Read more about timeliness and punctuality, Comparability, As the figures on total overdue tax are easily affected by the established practice of the Danish tax authorities, and these practices vary over time and place, comparability over time can be problematic., One should also be aware that new taxes are often added and old taxes are abandoned. This may further affect the comparability over time., Read more about comparability, Accessibility and clarity, News from Statistics Denmark, ., Skatter og Afgifter (Taxes and Duties), ., Statbank, ., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/overdue-tax--discontinued-

Documentation of statistics

Documentation of statistics: Births (Discontinued)

Contact info, Population and Education , Get documentation of statistics as pdf, Births 2016 , Previous versions, Births 2015, The statistics cover all births by women living in Denmark at the time of the birth., Statistical presentation, The statistics contains information about live births and stillbirths by sex and age, ancestry and municipality of the mother. Furthermore the children have information about the birth weight and birth length and whether they were a part of a multiple birth., Read more about statistical presentation, Statistical processing, Daily deliveries from the Central Population Register (CPR) and yearly delivery from Statens Serum Institut (SSI) are basis for the statistics., Data isn't checked for errors., Read more about statistical processing, Relevance, Municipalities, regions, ministries, the media and private individuals are using the statistics for public and private purposes and as input to the public debate, Read more about relevance, Accuracy and reliability, The statistics are based on the Central Population Register (CPR). The quality of the data is very high., The data from Statens Serum Institute is also of a high quality., Read more about accuracy and reliability, Timeliness and punctuality, The statistics concerning births is published app. 45 days after the ending of the year., Information concerning the weight, length, multiple births and stillbirths are received from Statens Serum Institut (SSI) and are published very irregular., Read more about timeliness and punctuality, Comparability, The statistics is comparable over time., Read more about comparability, Accessibility and clarity, News from Statistics Denmark, and the Statbank., Yearly publications: , Vital statistics, , , Statistical Yearbook, and , Statistical ten-year review, ., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/births--discontinued-

Documentation of statistics

Pushing statistical production based on administrative data – on all levels

Pushing statistical production based on administrative data – on all levels., 22 August 2023 12:00 ,  , At the same time as Danish experts in Vietnam together with the General Statistical Office (GSO) worked on creating statistical indicators based on administrative micro data, an international conference on “Data ecosystem management, data governance, and data stewardship” took place. Participants were Vietnamese ministries, international institutions, representatives from the private sector and national statistical offices., The full day conference displayed experiences of data integration and cooperation between authorities for the production of high quality official statistics through presentations and discussions. Presentations were held by the national statistical offices of Denmark, Singapore, South Korea, Japan and Thailand. Likewise the international organizations ESCAP and UNFPA contributed with presentations., The conference ended in a lively discussion between the Vietnamese public institutions and the international participants. The conference is considered a valuable leverage to Statistics Denmark’s ongoing efforts to support the modernization and digitalization of the production of official statistics in Vietnam through the Strategic Sector Cooperation program financed by the Danish Ministry of Foreign Affairs., You can read more about the SSC-project in Vietnam here.

https://www.dst.dk/en/consulting/news-from-international-consulting/2023/22-08-2023-Pushing-statistical-production-based-on-administrative-data

Data science team from Ghana wins UN Datathon 2023

Data Science Team from Ghana got 1st Place overall and also the prizes for Best Youth Team, Best Visualization and Best Team from Sub-Saharan Africa., 22 January 2024 11:00 ,  , Competing against over 400 teams from all over the world, the GSS team got 1, st, Place overall and also the prize for Best Youth Team, Best Visualization and Best Team from Sub-Saharan Africa. The challenges at the Datathon was to create “an innovative data solution which tackles local sustainable development challenges”. The solution should accelerate progress towards the United Nations Sustainable Development Goals using open source data sets and have a geospatial element., The Data Science Team produced an interactive tool which provide decision-makers with information about school enrollment, access to electricity and access to information on a local level based on night light data sources and data from the 2021 Population and Housing Census. The Data Science Team of the GSS was formed in 2022 to strengthen the use of Data Science and ICT at the Ghana Statistical Services. During 2022 and 2023, Statistics Denmark has worked closely with the team building skills in R and showcasing how administrative data can be turned into official statistics., Together with Statistics Denmark the Data Science Team created the , Statsbank Ghana,  , forming the base of the Population and Housing Census Atlas., We have made a small video presenting the Data Science Team and it’s work. , Video on the Data Science Team - 3:30 minutes,  , Read more about the Datathon and the winners on the official UN Datathon website here., The Datathon was supported by the UN Committee of Experts on Big Data and Data Science for Official Statistics. , You can find the UN-homepage with datathon essentials here.

https://www.dst.dk/en/consulting/news-from-international-consulting/2024/22-01-2024-data-science-team-from-ghana-wins-un-datathon-2023