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Indexation

What is indexation? Are you required to adjust amounts in a contract according to an index? What has been the price increase for, for example, building materials? How much has the salary increased? Find a list of the most requested indices for contract, price, and salary adjustment and read more about how to use price indices for adjustment., What is indexation?, Indexation is a way of adjusting prices and values to align with changes in an industry or the economy in general. This is done by using a predetermined index that measures the price level of goods and services over time., How to use price indices for adjustment (pdf),  , Most popular indices for adjustment of contracts, prices and wages, Consumer price index and Net price index, The annual change in the consumer price index is used as a measure of inflation. Learn more about the index on the subject page , Consumer price index, . Use our , Price calculator , to compare prices from previously with today and see how the price level has developed over the years., The Net Price Index shows the development in actual consumer prices minus taxes and duties. The index is especially used by businesses for the adjustment of contracts and lease agreements., Learn more about the index and see our price calculator on the subject page , Net price index, . , In , Statbank Denmark, , you will find the following monthly indices by commodity group:, Consumer price index by commodity group, (PRIS111), Net price index by commodity group, (PRIS114), Indices for the construction sector, Introduction to each index and the latest published figures can be found on the subject page , Indices for the construction sector, ., For a comprehensive overview of all indices within the construction and civil engineering sector, please refer to , Statbank Denmark, ., Here is a selection of the most commonly used indices:, Construction cost indices for civil engineering projects, (BYG62), The index is calculated for the following categories: Earth work, Asphalt work, Concrete structures, Iron and steel structures, as well as sub-indices for Traffic performance by lorries and Materials and machinery. Additionally, an index for road construction is published, which is a composite of the indices for earth work, asphalt work, and concrete constructions., Construction cost index for residential buildings, (BYG43), The index is broken down into seven sub-indices by profession and six sub-indices by building parts. Both the total index and sub-indices are divided into material costs and labor costs., Producer price index for construction of dwellings, (PRIS90), The index show trends in prices in the first stage of commercial transactions for the construction, i.e., the transaction carried out between the construction company and the builder. The index describes the price of constructing dwelling, i.e. the price a household or a developer pays the construction company, e.g. a producer of turn-key houses, for the construction of a dwelling., Producer price index for renovation and maintenance, (PRIS91), The index reflects the price developments for the production of refurbishment and maintenance services, i.e the price the household pays a company to perform a standard refurbishment and maintenance task. I.e. a carpenter changing a window frame., Producer and import price index for commodities, Shows the price development of goods relating to the first commercial transaction (business-to-business). Primarily used for fixed-price calculations, it also serves as an economic indicator and for contract regulations in the business sector., The latest published figures can be found on the subject page , Producer and import price index for commodities, . An overview of all producer and import price indices for goods can be found in , StatBank Denmark, ., Here is the most commonly used indices:, Overall producer and import price index for commodities, (PRIS4321), Shows the total price development in the first stage of turnover for commodities produced in Denmark, as well as commodities imported into Denmark. The index includes production for the domestic market and exports, where the prices are sales prices before taxes and duties, as well as imports into Denmark, where the prices are purchase prices, including transport, before taxes and duties. , Price index for Domestic Supply by commodity group, (PRIS1121), Shows the total price development in the first stage of turnover (business-to-business) for commodities used in Denmark. It includes commodities produced for domestic market and imported commodities. , Producer price index for services, Introduction to the index and the latest figures can be found on the subject page , Producer price index for services, ., In StatBank Denmark, you can find:, Producer price index for services, (PRIS1521), Shows the price development in the first stage of commercial transaction of services, i.e. producers' selling prices to other producers (business to business), for the domestic market and export., Indices of average earnings, There are two types of wage indices: “The standardised index of average earnings" and "The implicit index of average earnings". The difference is described in the “Documentation of statistics”, section , “Coherence - cross domain” , Internationally, the implicit index of average earnings can be compared to the labor cost index collected and published by Eurostat for all EU countries., An overview of all wage indices can be found in , StatBank Denmark, . , Here is a selection of the most commonly used indices:, Standardised index of average earnings, Standardised index of average earnings by industry and sector, (SBLON1), Standardised index of average earnings by occupation and sector, (SBLON2), Implicit index of average earnings, The implicit index of average earnings will be discontinued on 27 February 2026 with the publication of Q4 2025. We refer users to the standardised index of average earnings instead. To help you handle the transition from the implicit to the standardised index of average earnings, we have prepared a guide (in Danish)., Guide-skift til standardberegnet loenindeks, Implicit index of average earnings in corporations and organizations, (ILON12), Implicit index of average earnings in the public sector, central government, (ILON22), Implicit index of average earnings in the public sector, local government , (ILON32) ,  ,  

https://www.dst.dk/en/informationsservice/oss/indeksregulering

Revision and error policy

When a set of statistics is , revised, , an already published value or a figure is changed. This may happen e.g. because new and more reliable source data has become available, because of changes in methods, classifications and definitions or because of error corrections. Revisions are usually planned, and the users are notified in advance., Published statistics and other material must be quality assured when published, but , errors , may occur in figures or related text. When an error is detected, the users are informed, and the error is corrected as soon as possible., Revisions, Revisions are made in accordance with the ESS guidelines on revision policy for PEEIs (Principal European Economic Indicators). This means that revisions comply with harmonised procedures and principles and that revision practices for the individual sets of statistics are put down in writing and disseminated to the users of the statistics., The users are notified in advance of scheduled revisions. This is done in the documentation of statistics and sometimes on Statistics Denmark’s website, e.g. in the scheduled releases., Most revisions occur on a regular basis. This happens when sources required for a set of statistics are not fully available to meet the need for flash estimates. In such cases, , preliminary, statistics may be prepared on the basis of part of the sources to ensure timeliness. When the planned sources are available, the , final, figures are prepared. Macro-economic statistics follow the Harmonised European Revision Policy for Macroeconomic Statistics (HERP), which indicates at what intervals and how soon after the end of the reference period revisions can be made. Revisions thus take place in the statistical systems of all countries., When a set of statistics is seasonally adjusted, it will automatically result in revision of previously released seasonally-adjusted figures when a new period is added. This also happens, even though there are no changes in the historical non-seasonally-adjusted figures. , Some statistics must be consistent with statistics produced outside Statistics Den-mark. In some cases, there may be interim revisions that do not have an end date, and thus do not exist in an actual final form. This is the case with statistics such as the Emission Accounts. , Major revisions, are especially prevalent in macro-economic statistics that follow binding international guidelines (so-called manuals) and are based on a number of different primary statistics; which is the case for national accounts, government finances, balance of payments and working time accounts. An important quality of these sets of statistics is that they are intercorrelated and they describe the economic trend over many years. Since efforts are also made to ensure consistency between primary statistics and macro-statistics, there may be cases where new sources and methods are only partly incorporated in the primary statistics, or where the most user-friendly solution is for any level changes to await a major revision to ensure coherence between primary statistics and macro-statistics. , Another reason for making a major revision is the fact that new international guide-lines and assessment rules have been introduced, which imply major changes. To en-sure coherence between the various statistical systems, major revisions in the national accounts, government finances, balance of payments and working time accounts are carried out in accordance with a common schedule, of which users and stakeholders are notified as soon as possible. , The major revisions are carried out years apart and also change what is referred to above as final figures. For macro-economic statistics e.g., major revisions must be carried out every five years according HERP. , Statistics Denmark is continuously improving the statistical production to give the best possible account of the situation in society. For that reason, changes may occur in classifications, data sources and methods, where a revision of the statistics is deemed necessary, even though it is beyond both the regular revisions and major revisions. However, the users will always be notified of these changes., In connection with revisions, it must be ensured that:, Period and scope of the basis for revisions are determined and coordinated with the remaining statistical production., It appears from the documentation of statistics that regular revisions take place, and it is described when the statistics will be released in revised and fi-nal form. It also appears from the documentation of statistics if seasonal adjustments are made., For statistics that are subject to regular revisions, it appears from the news series “Nyt fra Danmarks Statistik” (in Danish only) and other publications when preliminary figures are concerned. , Analyses are made of the revisions to continuously improve the calculations of the preliminary figures. E.g. the size of revisions is examined and whether they are in a particular direction., The scope and any causes of revisions are described in both the documentation of statistics and “Nyt fra Danmarks Statistik”., Revisions are discussed with the users on a regular basis., In case of an unscheduled revision, changes will be described in the related documentation of statistics, and users will be notified, when this is deemed necessary., For some sets of statistics, Statbank Denmark has version tables showing the step by step changes in released figures., Errors, Errors in the released statistics may be caused by errors in data deliveries from external sources or reporting from enterprises, but they may also be caused by errors in Statistics Denmark’s data processing or dissemination., In both cases, Statistics Denmark will correct the error as soon as possible. We examine which releases, data, statistics and periods that are affected, what caused the error, and how it can be corrected. Once the error has been corrected, the users whom we know have used the release will be notified as soon as possible. In a few cases, it may be necessary to give notice of the error before it is corrected., Error corrections in figures or text will be marked and described in the following way:, Nyt fra Danmarks Statistik:, Corrections are made in the latest version., The error will be described, and the correction will be inserted in red., A date will indicate when the correction was made., Subscribers to the news series will receive an email describing the error., Statbank Denmark tables:, Tables in Statbank Denmark can be closed temporarily, if this is deemed nec-essary., All periods affected will be corrected as soon as possible – preferably on the same day as the error is found., The error will be described in the table footnote., An email is sent giving notice of the error to users who have a user profile in Statbank Denmark., Subject pages:, When data have been corrected in Statbank Denmark, the relevant subject page will also be updated., Publications, Statistics Denmark analyses, news articles:, Only the digital version will be changed (publications)., Only the latest version will be changed (publications)., The error will be described, and the correction will be inserted in red., A date indicates when the correction was made., Subscribers to the news series will receive an email describing the error., Press releases:, If there are errors in a press release, an estimate will always be made of the scope and timeliness of the error as well as whether important principal conclusions are affected by it. If it is deemed necessary, a new notification will be distributed from which it appears that a correction is concerned. The corrected version will be published via Ritzau., Facebook and LinkedIn:, Posts on Facebook and LinkedIn will not be deleted, instead the text in the post will be changed (Facebook and LinkedIn)., From the beginning of the post or thread, it will appear that it has been changed, and the reason for the change will be described (Facebook and LinkedIn).,  

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

Short term trends

The short term economic development in Denmark is illustrated by a number of indicators. This development is shown in percentage in relation to, the previous period (t-1), three months before (t-3), the same quarter of the previous year (t-4) or the same month of the previous year (t-12) , The numbers of the short term economic development are updated on a daily basis at 8.05 am.,  , Period, Value, Dev.,  , National accounts,  ,  , t/(t-1),  , Gross domestic product, real growth , (DKK billion, 2020-price level chain figures),   Q2/25,   657,   1.0, Household consumption expenditure, real growth , (DKK billion, 2020-price level chain figures),   Q2/25,   273,   0.2, NPISH consumption expenditure, real growth , (DKK billion, 2020-price level chain figures),   Q2/25,   9,   0.0, Government consumption, real growth , (DKK billion, 2020-price level chain figures),   Q2/25,   148,   0.4, Gross capital formation, real growth , (DKK million, 2020-price level chain figures),   Q2/25,   149,399,   -2.1, Imports of goods and services, real growth, (DKK billion, 2020-price level chain figures),   Q2/25,   357,   3.4, Exports of goods and services, real growth , (DKK billion, 2020-price level chain figures),   Q2/25,   428,   3.7, Employment. National accounts , (persons),   Q2/25,   3,252,560,   0.2, Labour market,  ,  , t/(t-4),  , Jobs. WTA (number),   Q2/25,   3,477,261,   0.9, Jobs. Hours worked, WTA (1000 hours),   Q2/25,   1,069,309,   0.8, Indices of average earnings in Corporations and Organizations (1. qtr. 2005=100),   Q2/25,   162.9,   2.5, Indices og average earnings in the public sector, central government (1. qtr 2005=100),   Q2/25,   164.5,   2.1, Indices of average earnings in the public sector, local government (1. qtr. 2005=100),   Q2/25,   169.4,   5.2, Job vacancies,   Q2/25,   56,680,   2.1, Registered unemployment,  ,  , t/(t-12),  , Gross unemployment (converted into full-time) per cent of the labour force , 2),   Aug/25,   2.9,   0.0, Gross unemployment (converted into full-time),   Aug/25,   87,982.3,   1.0, Net unemployment (converted into full-time) per cent of the labour force , 2),   Aug/25,   2.6,   0.0, Net unemployment (converted into full-time),   Aug/25,   77,099.5,   0.3, ILO unemployment,  ,  , t/(t-3),  , ILO-unemployment rate , 2),   Aug/25,   6.4,   1.1, Consumption,  ,  , t/(t-1),  , Retail trade index total (2021=100),   Aug/25,   98.0,   0.3, New registration of passenger cars (number),   Aug/25,   14,915,   -5.2, Consumer confidence indicator,   Sep/25,   -18.7,   .., Industries,  ,  , t/(t-1),  , Number of persons employed in the construction industry total,   Q1/25,   198,314,   0.4, Domestic sales by VAT registered firms (DKK million),   Aug/25,   291,183,   -0.1, Industrial production index (2021=100),   Aug/25,   128.4,   -2.9,  ,  , t/(t-12),  , New registration of van and lorries (number) , 1),   Aug/25,   2,207,   -4.0, Bankruptcies (number),   Sep/25,   551,   -9.8, Tendency Surveys,  ,  ,  , Sentiment indicators for construction , 1),   Sep/25,   99.9,   .., Sentiment indicators for industry , 1),   Sep/25,   92.0,   .., Sentiment indicators for service sector , 1),   Sep/25,   107.9,   .., Sentiment indicators for retail trade , 1),   Sep/25,   105.9,   .., Property Market,  ,  , t/(t-1),  , Construction Cost Index for residential buildings (2021=100) , 1),   Q2/25,   119.5,   1.3, Price index for one-family houses (2022=100),   Q2/25,   105.5,   0.8, Forced sales of real property (number),   Sep/25,   90.0,   5.9, External Trade and Balance of Payments,  ,  , t/(t-1),  , Import of goods (DKK milllion) , 1),   Aug/25,   71,471.1,   0.4, Export of goods (DKK million) , 1),   Aug/25,   75,468.7,   -10.7, Import of services (DKK milllion),   Q2/25,   208,331.4,   0.9, Export of services (DKK milllion),   Q2/25,   208,331.9,   -0.8, Balance of payments, surplus (DKK million) , 3),   Aug/25,   25,729.4,   -13,602.6, Prices,  ,  , t/(t-12),  , Consumer price index (2015=100),   Sep/25,   121.6,   2.3, Price index for Domestic Supply (2021=100),   Aug/25,   115.9,   -1.6, Price index for domestic supply (2021=100) - Mineral fuels, mineraloil and distilery products thereof,   Aug/25,   110.5,   -16.7, Producer price index for commodity (2021=100),   Aug/25,   139.3,   3.0, Import price index for commodity (2021=100),   Aug/25,   116.1,   -1.9, Government net lending,  ,  , t/(t-1),  , Government net lending (DKK million),   Q2/25,   28,852,   7.4, Interest and share rates,  ,  , t/(t-1),  , Share index OMXC20 (july 3rd 1989=100),   Aug/25,   1,572,   4.8, Exchange rate, nominal effective Krone rate, monthly average (1980=100),   Sep/25,   107.2,   0.0, Short interest rate, 3 month CIBOR (pct. p.a.) , 2),   Aug/25,   ..,   .., Long interest rate, 10-years central government bond (pct. p.a.) , 2),   Aug/25,   ..,   .., Footnotes, :, 1) Not seasonally adjusted, 2) Development in percentage point, 3) Development in DKK million

https://www.dst.dk/en/Statistik/temaer/overblik-dansk-oekonomi/Konjunkturindikatorer

Labour Force Survey (LFS)

How high is the employment rate in Denmark? How many work part time? And how many are working from home?

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

Subject page

EU price and volume comparison

What are the differences in the price levels of EU countries? How high is GDP per capita in the individual countries compared to the EU average?

https://www.dst.dk/en/Statistik/emner/oekonomi/prisindeks/eu-pris-og-maengdesammenligning

Subject page

Energy and air emission accounts

How many tonnes of greenhouse gases (e.g. CO2) does the Danish economy emit? And how big is the energy consumption in Danish households and industry?

https://www.dst.dk/en/Statistik/emner/miljoe-og-energi/groent-nationalregnskab/energi-og-emissionsregnskaber

Subject page

Producer and import price index for commodities

Hvad er udviklingen i producenternes salgspriser og importørernes købspriser? Hvad er prisudviklingen for udvalgte varegrupper såsom; jern og stål, træ eller plast?

https://www.dst.dk/en/Statistik/emner/oekonomi/prisindeks/producent-og-importprisindeks-for-varer

Subject page

Participation in sports

How many members are there in Danish sports associations? Which sports have the highest membership?

https://www.dst.dk/en/Statistik/emner/kultur-og-fritid/idraet/idraetsudoevelse

Subject page

KONK15: Bankruptcies

industry (DB07), type of enterprise and time
2009M01-2025M09 (Number)

https://www.statbank.dk/KONK15

Tables in StatBank

Historical projects

Statistics Denmark has been involved in international cooperation projects since the beginning of the millennium. , Additional information and reports from the projects are available on request. If you are interested in information about a specific historical project please write an email to , internIR@dst.dk, and we will get back you. , Below there is a short description of some of the historical projects. In addition to these, we have been involved in many other projects on a smaller scale. , Armenia, Statistics Denmark implemented an EU-financed Twinning project in Armenia in cooperation with the national statistics institutions of Finland, Italy and Lithuania from August 2015 to August 2017. The beneficiary institution was the National Statistics Service of the Republic of Armenia, Armstat. The aim of the project was to support the upgrade of official statistics of Armenia by introducing new methodologies on statistics closely aligned to European standards and enhancing dissemination of official statistics to the society. , The project focused on six major components: , Dissemination and Quality of Statistics, Demographic Statistics and IT, Labour Market Statistics, Poverty Statistics, Innovation Statistics, Water Accounts , The project was the second EU Twinning project between Armstat and Statistics Denmark. The first project ran from 2011 to 2013., Bosnia-Herzegovina, Bosnia-Herzegovina 2021-2023, Statistics Denmark was implementing an EU-financed Twinning project in Bosnia and Herzegovina in cooperation with the national statistical institutions of Finland, Sweden and Italy. The project ran from March 2021 to March 2023. , The beneficiary institutions were: , Agency for Statistics of Bosnia and Herzegovina, Institute for Statistics of Federation of Bosnia and Herzegovina, Institute for Statistics of Republika Srpska, Central Bank of Bosnia and Herzegovina, Indirect Taxation Authority of Bosnia and Herzegovina., The overall objective of the project is to increase the volume of statistical data in/for BiH and further increase the compliance with EU Acquis, with the specific objective to strengthen the statistical system institutional capacities and to further harmonise statistics in BiH with EU standards by improving business statistics, balance of payments, agriculture and labour market statistics and to improve reporting/statistics on collected indirect taxes. , In general, the project addressed six independent components: , Component 1 - Business Statistics, with four subcomponents, C 1.1 - Statistical Business Register, C 1.2 - Structural Business Statistics, C 1.3.1 - Index of Production in Construction, C 1.3.2 - Index of Services Production, Component 2 - Agricultural Statistics, Component 3 - Administrative Data Sources, Component 4 - Labour Market Statistics, Component 5 - Balance of Payment Statistics – Central Bank, Component 6 - Macroeconomic Analysis Unit of the Governing Board of the Indirect Taxation Authority, You can read more about the project on Facebook: EU Twinning - Further Support to the Reform of Statistics System in BiH , Bosnia-Herzegovina 2018-2020, Statistics Denmark has implemented an EU-financed Twinning project in Bosnia and Herzegovina in cooperation with the national statistical institutions of Croatia, Finland and France. The project ran from January 2018 to April 2020. , The beneficiary institutions were:, Agency for Statistics of Bosnia and Herzegovina, Institute for Statistics of Federation of Bosnia and Herzegovina, Institute for Statistics of Republika Srpska, Central Bank of Bosnia and Herzegovina., The aim of the project was to strengthen the statistical system in Bosnia and Herzegovina and to increase the number of statistics, which is harmonised with EU standards. , The project focused on the following topics: , Component 1: National Accounts, Component 2.1: Statistical Business Register, Component 2.2: Structural Business Statistics, Component 2.3: Service Producer Price Index, Component 2.4: Construction Producer Price Index, Component 2.5: Tourism Statistics, Component 3: Balance of Payment and International Investment Position Statistics, You can read more about the project on Facebook: EUtwinningStatisticsBiH , Georgia, Statistics Denmark implemented an EU-financed Twinning project in Georgia. Our partner was the National Statistics Office of Georgia, Geostat. The implementation happened in cooperation with the national statistical institutes of the Czech Republic, Hungary, Finland and Lithuania. The project ran from April 2019 to July 2021. , The project has four main topics:, External Sector Statistics, National Accounts, Business Statistics, Social Statistics, The aim of the project is to assist Geostat in further improving statistical capacity and contributing to providing timely, internationally comparable and reliable statistical data. , You can also follow the project on Facebook: EUtwinningGeostat. , Egypt, From September 2008 to November 2010 Statistics Denmark and the Central Agency of Public Mobilisation and Statistics (CAPMAS) of Egypt implemented an EU Twinning project. The project was called "Institutional Capacity Building for the Central Agency of Public Mobilization and Statistics; and Developing the Legal Framework for Statistics in Egypt"., We implemented the project in partnership with Statistics Sweden, Statistics Finland, Central Statistical Bureau of Latvia and the Czech Statistical Office. The objective was to support the preparation of statistical policy and legislation and to build up the organizational capacity of CAPMAS to produce, publish and disseminate high quality statistics., The project focused on six major components:, Improvement of statistical legislation, Organisational reform, Increasing statistical awareness, Improved IT-function, Development of certain statistics such as national accounts, external sector statistics and price statistics , Israel, Statistics Denmark and the Israeli Central Bureau of Statistics (ICBS) implemented a two-year EUTwinning project from March 2016 to August 2018. Besides experts from Statistics Denmark, the project was implemented in cooperation with the national statistics institutions in the Netherlands, Poland and the UK., The project is a result of the bilateral ENP Action Plan between the EU and Israel., See the EEAS website for further details on the EU/Israel Action Plan, The project had four major components:, Quality management of official statistics, Micro-data services to researchers, Infrastructures for agricultural statistics, Methodological and geo-spatial tools for improving the quality and efficiency of field surveys, The purpose of the project was for the ICBS to align official statistics with standards, guidelines and best practices from the European Union and from international organizations like the IMF and the OECD., The project was a logical continuation of a previous EU Twinning project between Statistics Denmark and ICBS that ran from May 2013 to December 2014., Jordan, Between November 2013 and April 2015, Statistics Denmark implemented an EU Twinning project with the Department of Statistics of Jordan. We worked on the implementation together with Istat of Italy, the Central Statistics Bureau of Latvia and Northern Ireland Cooperation Overseas. , The topics were:, Ensuring quality control of statistical data through upgrading sampling methodologies, Implementing international and European methods in National Accounts , Quality of statistics , Developing IT systems for online dissemination of statistics, Kosovo, From December 2013 to March 2016, Statistics Denmark implemented an EU Twinning Project with the Kosovo Agency of Statistics. We worked with partners from Statistics Lithuania, Statistics Finland and Ni-Co Northern Ireland., The project had four components:, Quality Systems for Statistics, National Accounts, Business Statistics, Information Technology System, Mozambique, The project between Statistics Denmark, Statistics Norway and Statistics Sweden on one side and Instituto Nacional de Estatística of Mozambique (INE) ran from 2002 to the end of 2017. , Originally, the project was funded by the World Bank to support the newly formed national statistical institute (INE) with its first 5-year master plan, 1998-2002. , Long and short term advisors started helping INE to strengthen already existing systems and support the creation of new ones to build up an efficient system for the production of the statistical information required for planning, monitoring and evaluation of the country's development program. , During the period 2003-2007 an even more extensive project was created where Denmark, Norway and Sweden joined to directly finance both technical assistance and statistical activities. A consortium, Scanstat, was formed by Statistics Denmark (lead), Statistics Norway and Statistics Sweden provided technical assistance. , Since 2008, the financing of the project was made through the state budget by the government of Mozambique and a common fund, where UNFPA (lead), Norway and Sweden were signatories of the Memorandum of Understanding and contributing financially to the fund. Also Denmark, Canada, Italy, the World Bank, FAO and UNICEF were often participating as interested stakeholders in common meetings. , For the period 2013-2017, the contract between Scanstat and INE contained 111 months of long-term technical assistance, one in Institutional Development and one in Economic Statistics. There was also up to 207 weeks of short-term technical assistance covering all aspects of a modern staistical office in a developing country. Some of the activities were executed at other producers of official statistics in Mozambique such as the Ministry of Agriculture and Food Security. , INE has been supported by the Scandinavian countries for a long time and we have been in a prolonged phasing-out phase focusing on sustainability and empowerment of the national Mozambican staff. It is encouraging to see how INE is taking up its role within the African statistical society and now often act as promoter and a good example. , Ukraine, Statistics Denmark implemented an EU-financed Twinning project with the State Statistics Service of Ukraine from December 2013 to December 2015. INSEE France, Statistics Lithuania, Central Statistical Office of Latvia, Central Statistical Office of Poland, Statistics Finland, Statistics Sweden, Statistical Office of the Slovak Republic, INE of Spain and ISTAT Italy were also providing expertise to the project., The objective of the project was to develop Ukraine’s national system of official statistics in order to apply European standards in the area of statistics., The project had 13 components:, National Accounts, Consumer Price Index (CPI) Sample, Quality reports, Producer Price Index (PPI), Structural Business Statistics (SBS), Business Trends Survey, Agriculture Statistics, Foreign Trade Statistics, Statistical Business Register, Sample Surveys Methodology, Capital and Foreign Direct Investment, Household Living Conditions Survey, Effective Communi­cation with Media and Public, Promoting the Activity of the Statistical Office, Web Portal Solutions, Data Collection Process, The project was a follow-up to a previous EU Twinning project running from 2011 to 2013.

https://www.dst.dk/en/consulting/projects/historical-projects